Added itertools.tee()
It works like the pure python verion except: * it stops storing data after of the iterators gets deallocated * the data queue is implemented with two stacks instead of one dictionary.
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@ -108,9 +108,8 @@ by functions or loops that truncate the stream.
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yield element
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\end{verbatim}
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Note, this is the only member of the toolkit that may require
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significant auxiliary storage (depending on the length of the
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iterable).
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Note, this member of the toolkit may require significant
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auxiliary storage (depending on the length of the iterable).
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\end{funcdesc}
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\begin{funcdesc}{dropwhile}{predicate, iterable}
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@ -282,6 +281,32 @@ by functions or loops that truncate the stream.
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\end{verbatim}
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\end{funcdesc}
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\begin{funcdesc}{tee}{iterable}
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Return two independent iterators from a single iterable.
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Equivalent to:
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\begin{verbatim}
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def tee(iterable):
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def gen(next, data={}, cnt=[0]):
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for i in count():
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if i == cnt[0]:
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item = data[i] = next()
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cnt[0] += 1
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else:
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item = data.pop(i)
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yield item
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it = iter(iterable)
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return (gen(it.next), gen(it.next))
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\end{verbatim}
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Note, this member of the toolkit may require significant auxiliary
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storage (depending on how much temporary data needs to be stored).
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In general, if one iterator is going use most or all of the data before
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the other iterator, it is faster to use \function{list()} instead of
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\function{tee()}.
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\versionadded{2.4}
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\end{funcdesc}
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\subsection{Examples \label{itertools-example}}
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@ -369,6 +394,17 @@ def ncycles(seq, n):
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def dotproduct(vec1, vec2):
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return sum(imap(operator.mul, vec1, vec2))
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def flatten(listOfLists):
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return list(chain(*listOfLists))
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def repeatfunc(func, times=None, *args):
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"Repeat calls to func with specified arguments."
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"Example: repeatfunc(random.random)"
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if times is None:
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return starmap(func, repeat(args))
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else:
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return starmap(func, repeat(args, times))
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def window(seq, n=2):
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"Returns a sliding window (of width n) over data from the iterable"
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" s -> (s0,s1,...s[n-1]), (s1,s2,...,sn), ... "
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@ -380,18 +416,4 @@ def window(seq, n=2):
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result = result[1:] + (elem,)
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yield result
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def tee(iterable):
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"Return two independent iterators from a single iterable"
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def gen(next, data={}, cnt=[0]):
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dpop = data.pop
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for i in count():
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if i == cnt[0]:
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item = data[i] = next()
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cnt[0] += 1
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else:
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item = dpop(i)
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yield item
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next = iter(iterable).next
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return (gen(next), gen(next))
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\end{verbatim}
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@ -3,6 +3,7 @@ from test import test_support
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from itertools import *
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import sys
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import operator
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import random
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def onearg(x):
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'Test function of one argument'
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@ -198,6 +199,50 @@ class TestBasicOps(unittest.TestCase):
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self.assertRaises(TypeError, dropwhile(10, [(4,5)]).next)
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self.assertRaises(ValueError, dropwhile(errfunc, [(4,5)]).next)
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def test_tee(self):
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n = 100
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def irange(n):
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for i in xrange(n):
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yield i
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a, b = tee([]) # test empty iterator
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self.assertEqual(list(a), [])
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self.assertEqual(list(b), [])
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a, b = tee(irange(n)) # test 100% interleaved
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self.assertEqual(zip(a,b), zip(range(n),range(n)))
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a, b = tee(irange(n)) # test 0% interleaved
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self.assertEqual(list(a), range(n))
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self.assertEqual(list(b), range(n))
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a, b = tee(irange(n)) # test dealloc of leading iterator
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self.assertEqual(a.next(), 0)
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self.assertEqual(a.next(), 1)
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del a
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self.assertEqual(list(b), range(n))
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a, b = tee(irange(n)) # test dealloc of trailing iterator
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self.assertEqual(a.next(), 0)
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self.assertEqual(a.next(), 1)
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del b
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self.assertEqual(list(a), range(2, n))
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for j in xrange(5): # test randomly interleaved
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order = [0]*n + [1]*n
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random.shuffle(order)
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lists = ([], [])
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its = tee(irange(n))
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for i in order:
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value = its[i].next()
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lists[i].append(value)
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self.assertEqual(lists[0], range(n))
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self.assertEqual(lists[1], range(n))
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self.assertRaises(TypeError, tee)
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self.assertRaises(TypeError, tee, 3)
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self.assertRaises(TypeError, tee, [1,2], 'x')
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def test_StopIteration(self):
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self.assertRaises(StopIteration, izip().next)
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@ -208,12 +253,65 @@ class TestBasicOps(unittest.TestCase):
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self.assertRaises(StopIteration, islice([], None).next)
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self.assertRaises(StopIteration, islice(StopNow(), None).next)
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p, q = tee([])
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self.assertRaises(StopIteration, p.next)
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self.assertRaises(StopIteration, q.next)
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p, q = tee(StopNow())
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self.assertRaises(StopIteration, p.next)
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self.assertRaises(StopIteration, q.next)
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self.assertRaises(StopIteration, repeat(None, 0).next)
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for f in (ifilter, ifilterfalse, imap, takewhile, dropwhile, starmap):
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self.assertRaises(StopIteration, f(lambda x:x, []).next)
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self.assertRaises(StopIteration, f(lambda x:x, StopNow()).next)
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class TestGC(unittest.TestCase):
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def makecycle(self, iterator, container):
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container.append(iterator)
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iterator.next()
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del container, iterator
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def test_chain(self):
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a = []
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self.makecycle(chain(a), a)
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def test_cycle(self):
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a = []
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self.makecycle(cycle([a]*2), a)
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def test_ifilter(self):
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a = []
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self.makecycle(ifilter(lambda x:True, [a]*2), a)
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def test_ifilterfalse(self):
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a = []
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self.makecycle(ifilterfalse(lambda x:False, a), a)
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def test_izip(self):
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a = []
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self.makecycle(izip([a]*2, [a]*3), a)
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def test_imap(self):
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a = []
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self.makecycle(imap(lambda x:x, [a]*2), a)
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def test_islice(self):
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a = []
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self.makecycle(islice([a]*2, None), a)
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def test_starmap(self):
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a = []
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self.makecycle(starmap(lambda *t: t, [(a,a)]*2), a)
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def test_tee(self):
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a = []
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p, q = t = tee([a]*2)
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a += [a, p, q, t]
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p.next()
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del a, p, q, t
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def R(seqn):
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'Regular generator'
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for i in seqn:
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'Test multiple tiers of iterators'
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return chain(imap(lambda x:x, R(Ig(G(seqn)))))
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class TestGC(unittest.TestCase):
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def makecycle(self, iterator, container):
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container.append(iterator)
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iterator.next()
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del container, iterator
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def test_chain(self):
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a = []
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self.makecycle(chain(a), a)
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def test_cycle(self):
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a = []
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self.makecycle(cycle([a]*2), a)
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def test_ifilter(self):
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a = []
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self.makecycle(ifilter(lambda x:True, [a]*2), a)
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def test_ifilterfalse(self):
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a = []
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self.makecycle(ifilterfalse(lambda x:False, a), a)
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def test_izip(self):
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a = []
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self.makecycle(izip([a]*2, [a]*3), a)
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def test_imap(self):
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a = []
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self.makecycle(imap(lambda x:x, [a]*2), a)
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def test_islice(self):
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a = []
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self.makecycle(islice([a]*2, None), a)
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def test_starmap(self):
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a = []
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self.makecycle(starmap(lambda *t: t, [(a,a)]*2), a)
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class TestVariousIteratorArgs(unittest.TestCase):
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@ -427,6 +486,16 @@ class TestVariousIteratorArgs(unittest.TestCase):
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self.assertRaises(TypeError, list, dropwhile(isOdd, N(s)))
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self.assertRaises(ZeroDivisionError, list, dropwhile(isOdd, E(s)))
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def test_tee(self):
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for s in ("123", "", range(1000), ('do', 1.2), xrange(2000,2200,5)):
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for g in (G, I, Ig, S, L, R):
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it1, it2 = tee(g(s))
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self.assertEqual(list(it1), list(g(s)))
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self.assertEqual(list(it2), list(g(s)))
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self.assertRaises(TypeError, tee, X(s))
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self.assertRaises(TypeError, list, tee(N(s))[0])
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self.assertRaises(ZeroDivisionError, list, tee(E(s))[0])
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class RegressionTests(unittest.TestCase):
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def test_sf_793826(self):
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>>> def dotproduct(vec1, vec2):
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... return sum(imap(operator.mul, vec1, vec2))
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>>> def flatten(listOfLists):
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... return list(chain(*listOfLists))
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>>> def repeatfunc(func, times=None, *args):
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... "Repeat calls to func with specified arguments."
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... " Example: repeatfunc(random.random)"
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... if times is None:
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... return starmap(func, repeat(args))
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... else:
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... return starmap(func, repeat(args, times))
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>>> def window(seq, n=2):
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... "Returns a sliding window (of width n) over data from the iterable"
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... " s -> (s0,s1,...s[n-1]), (s1,s2,...,sn), ... "
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@ -542,20 +622,6 @@ Samuele
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... result = result[1:] + (elem,)
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... yield result
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>>> def tee(iterable):
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... "Return two independent iterators from a single iterable"
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... def gen(next, data={}, cnt=[0]):
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... dpop = data.pop
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... for i in count():
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... if i == cnt[0]:
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... item = data[i] = next()
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... cnt[0] += 1
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... else:
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... item = dpop(i)
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... yield item
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... next = iter(iterable).next
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... return (gen(next), gen(next))
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This is not part of the examples but it tests to make sure the definitions
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perform as purported.
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>>> quantify(xrange(99), lambda x: x%2==0)
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50
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>>> a = [[1, 2, 3], [4, 5, 6]]
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>>> flatten(a)
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[1, 2, 3, 4, 5, 6]
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>>> list(repeatfunc(pow, 5, 2, 3))
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[8, 8, 8, 8, 8]
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>>> import random
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>>> take(5, imap(int, repeatfunc(random.random)))
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[0, 0, 0, 0, 0]
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>>> list(window('abc'))
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[('a', 'b'), ('b', 'c')]
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>>> dotproduct([1,2,3], [4,5,6])
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32
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>>> x, y = tee(chain(xrange(2,10)))
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>>> list(x), list(y)
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([2, 3, 4, 5, 6, 7, 8, 9], [2, 3, 4, 5, 6, 7, 8, 9])
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>>> x, y = tee(chain(xrange(2,10)))
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>>> zip(x, y)
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[(2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (7, 7), (8, 8), (9, 9)]
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"""
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__test__ = {'libreftest' : libreftest}
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33
Misc/NEWS
33
Misc/NEWS
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- Implemented (?(id/name)yes|no) support in SRE (#572936).
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- random.seed() with no arguments or None uses time.time() as a default
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seed. Modified to match Py2.2 behavior and use fractional seconds so
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that successive runs are more likely to produce different sequences.
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- random.Random has a new method, getrandbits(k), which returns an int
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with k random bits. This method is now an optional part of the API
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for user defined generators. Any generator that defines genrandbits()
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can now use randrange() for ranges with a length >= 2**53. Formerly,
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randrange would return only even numbers for ranges that large (see
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SF bug #812202). Generators that do not define genrandbits() now
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issue a warning when randrange() is called with a range that large.
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- itertools now has a new function, tee() which produces two independent
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iterators from a single iterable.
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- itertools.izip() with no arguments now returns an empty iterator instead
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of raising a TypeError exception.
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Library
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-------
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@ -108,21 +126,6 @@ Library
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allow any iterable. Also the Set.update() has been deprecated because
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it duplicates Set.union_update().
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- random.seed() with no arguments or None uses time.time() as a default
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seed. Modified to match Py2.2 behavior and use fractional seconds so
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that successive runs are more likely to produce different sequences.
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- random.Random has a new method, getrandbits(k), which returns an int
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with k random bits. This method is now an optional part of the API
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for user defined generators. Any generator that defines genrandbits()
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can now use randrange() for ranges with a length >= 2**53. Formerly,
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randrange would return only even numbers for ranges that large (see
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SF bug #812202). Generators that do not define genrandbits() now
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issue a warning when randrange() is called with a range that large.
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- itertools.izip() with no arguments now returns an empty iterator instead
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of raising a TypeError exception.
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- _strptime.py now has a behind-the-scenes caching mechanism for the most
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recent TimeRE instance used along with the last five unique directive
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patterns. The overall module was also made more thread-safe.
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@ -7,6 +7,264 @@
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All rights reserved.
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*/
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/* independent iterator object supporting the tee object ***************/
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/* The tee object maintains a queue of data seen by the leading iterator
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but not seen by the trailing iterator. When the leading iterator
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gets data from PyIter_Next() it appends a copy to the inbasket stack.
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When the trailing iterator needs data, it is popped from the outbasket
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stack. If the outbasket stack is empty, then it is filled from the
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inbasket (i.e. the queue is implemented using two stacks so that only
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O(n) operations like append() and pop() are used to access data and
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calls to reverse() never move any data element more than once).
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If one of the independent iterators gets deallocated, it sets tee's
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save_mode to zero so that future calls to PyIter_Next() stop getting
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saved to the queue (because there is no longer a second iterator that
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may need the data).
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*/
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typedef struct {
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PyObject_HEAD
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PyObject *it;
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PyObject *inbasket;
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PyObject *outbasket;
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int save_mode;
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int num_seen;
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} teeobject;
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typedef struct {
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PyObject_HEAD
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teeobject *tee;
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int num_seen;
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} iiobject;
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static PyTypeObject ii_type;
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static PyObject *
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ii_next(iiobject *lz)
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{
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teeobject *to = lz->tee;
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PyObject *result, *tmp;
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if (lz->num_seen == to->num_seen) {
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/* This instance is leading, use iter to get more data */
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result = PyIter_Next(to->it);
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if (result == NULL)
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return NULL;
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if (to->save_mode)
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PyList_Append(to->inbasket, result);
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to->num_seen++;
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lz->num_seen++;
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return result;
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}
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/* This instance is trailing, get data from the queue */
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if (PyList_GET_SIZE(to->outbasket) == 0) {
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/* outbasket is empty, so refill from the inbasket */
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tmp = to->outbasket;
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to->outbasket = to->inbasket;
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to->inbasket = tmp;
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PyList_Reverse(to->outbasket);
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assert(PyList_GET_SIZE(to->outbasket) > 0);
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}
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lz->num_seen++;
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return PyObject_CallMethod(to->outbasket, "pop", NULL);
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}
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static void
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ii_dealloc(iiobject *ii)
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{
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PyObject_GC_UnTrack(ii);
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ii->tee->save_mode = 0; /* Stop saving data */
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Py_XDECREF(ii->tee);
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PyObject_GC_Del(ii);
|
||||
}
|
||||
|
||||
static int
|
||||
ii_traverse(iiobject *ii, visitproc visit, void *arg)
|
||||
{
|
||||
if (ii->tee)
|
||||
return visit((PyObject *)(ii->tee), arg);
|
||||
return 0;
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(ii_doc, "Independent iterators linked to a tee() object.");
|
||||
|
||||
static PyTypeObject ii_type = {
|
||||
PyObject_HEAD_INIT(&PyType_Type)
|
||||
0, /* ob_size */
|
||||
"itertools.independent_iterator", /* tp_name */
|
||||
sizeof(iiobject), /* tp_basicsize */
|
||||
0, /* tp_itemsize */
|
||||
/* methods */
|
||||
(destructor)ii_dealloc, /* tp_dealloc */
|
||||
0, /* tp_print */
|
||||
0, /* tp_getattr */
|
||||
0, /* tp_setattr */
|
||||
0, /* tp_compare */
|
||||
0, /* tp_repr */
|
||||
0, /* tp_as_number */
|
||||
0, /* tp_as_sequence */
|
||||
0, /* tp_as_mapping */
|
||||
0, /* tp_hash */
|
||||
0, /* tp_call */
|
||||
0, /* tp_str */
|
||||
PyObject_GenericGetAttr, /* tp_getattro */
|
||||
0, /* tp_setattro */
|
||||
0, /* tp_as_buffer */
|
||||
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
|
||||
ii_doc, /* tp_doc */
|
||||
(traverseproc)ii_traverse, /* tp_traverse */
|
||||
0, /* tp_clear */
|
||||
0, /* tp_richcompare */
|
||||
0, /* tp_weaklistoffset */
|
||||
PyObject_SelfIter, /* tp_iter */
|
||||
(iternextfunc)ii_next, /* tp_iternext */
|
||||
0, /* tp_methods */
|
||||
};
|
||||
|
||||
/* tee object **********************************************************/
|
||||
|
||||
static PyTypeObject tee_type;
|
||||
|
||||
static PyObject *
|
||||
tee_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
|
||||
{
|
||||
PyObject *it = NULL;
|
||||
PyObject *iterable;
|
||||
PyObject *inbasket = NULL, *outbasket = NULL, *result = NULL;
|
||||
teeobject *to = NULL;
|
||||
int i;
|
||||
|
||||
if (!PyArg_UnpackTuple(args, "tee", 1, 1, &iterable))
|
||||
return NULL;
|
||||
|
||||
it = PyObject_GetIter(iterable);
|
||||
if (it == NULL) goto fail;
|
||||
|
||||
inbasket = PyList_New(0);
|
||||
if (inbasket == NULL) goto fail;
|
||||
|
||||
outbasket = PyList_New(0);
|
||||
if (outbasket == NULL) goto fail;
|
||||
|
||||
to = (teeobject *)type->tp_alloc(type, 0);
|
||||
if (to == NULL) goto fail;
|
||||
|
||||
to->it = it;
|
||||
to->inbasket = inbasket;
|
||||
to->outbasket = outbasket;
|
||||
to->save_mode = 1;
|
||||
to->num_seen = 0;
|
||||
|
||||
/* create independent iterators */
|
||||
result = PyTuple_New(2);
|
||||
if (result == NULL) goto fail;
|
||||
for (i=0 ; i<2 ; i++) {
|
||||
iiobject *indep_it = PyObject_GC_New(iiobject, &ii_type);
|
||||
if (indep_it == NULL) goto fail;
|
||||
Py_INCREF(to);
|
||||
indep_it->tee = to;
|
||||
indep_it->num_seen = 0;
|
||||
PyObject_GC_Track(indep_it);
|
||||
PyTuple_SET_ITEM(result, i, (PyObject *)indep_it);
|
||||
}
|
||||
goto succeed;
|
||||
fail:
|
||||
Py_XDECREF(it);
|
||||
Py_XDECREF(inbasket);
|
||||
Py_XDECREF(outbasket);
|
||||
Py_XDECREF(result);
|
||||
succeed:
|
||||
Py_XDECREF(to);
|
||||
return result;
|
||||
}
|
||||
|
||||
static void
|
||||
tee_dealloc(teeobject *to)
|
||||
{
|
||||
PyObject_GC_UnTrack(to);
|
||||
Py_XDECREF(to->inbasket);
|
||||
Py_XDECREF(to->outbasket);
|
||||
Py_XDECREF(to->it);
|
||||
to->ob_type->tp_free(to);
|
||||
}
|
||||
|
||||
static int
|
||||
tee_traverse(teeobject *to, visitproc visit, void *arg)
|
||||
{
|
||||
int err;
|
||||
|
||||
if (to->it) {
|
||||
err = visit(to->it, arg);
|
||||
if (err)
|
||||
return err;
|
||||
}
|
||||
if (to->inbasket) {
|
||||
err = visit(to->inbasket, arg);
|
||||
if (err)
|
||||
return err;
|
||||
}
|
||||
if (to->outbasket) {
|
||||
err = visit(to->outbasket, arg);
|
||||
if (err)
|
||||
return err;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(tee_doc,
|
||||
"tee(iterable) --> (it1, it2)\n\
|
||||
\n\
|
||||
Split the iterable into to independent iterables.");
|
||||
|
||||
static PyTypeObject tee_type = {
|
||||
PyObject_HEAD_INIT(NULL)
|
||||
0, /* ob_size */
|
||||
"itertools.tee", /* tp_name */
|
||||
sizeof(teeobject), /* tp_basicsize */
|
||||
0, /* tp_itemsize */
|
||||
/* methods */
|
||||
(destructor)tee_dealloc, /* tp_dealloc */
|
||||
0, /* tp_print */
|
||||
0, /* tp_getattr */
|
||||
0, /* tp_setattr */
|
||||
0, /* tp_compare */
|
||||
0, /* tp_repr */
|
||||
0, /* tp_as_number */
|
||||
0, /* tp_as_sequence */
|
||||
0, /* tp_as_mapping */
|
||||
0, /* tp_hash */
|
||||
0, /* tp_call */
|
||||
0, /* tp_str */
|
||||
PyObject_GenericGetAttr, /* tp_getattro */
|
||||
0, /* tp_setattro */
|
||||
0, /* tp_as_buffer */
|
||||
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
|
||||
Py_TPFLAGS_BASETYPE, /* tp_flags */
|
||||
tee_doc, /* tp_doc */
|
||||
(traverseproc)tee_traverse, /* tp_traverse */
|
||||
0, /* tp_clear */
|
||||
0, /* tp_richcompare */
|
||||
0, /* tp_weaklistoffset */
|
||||
0, /* tp_iter */
|
||||
0, /* tp_iternext */
|
||||
0, /* tp_methods */
|
||||
0, /* tp_members */
|
||||
0, /* tp_getset */
|
||||
0, /* tp_base */
|
||||
0, /* tp_dict */
|
||||
0, /* tp_descr_get */
|
||||
0, /* tp_descr_set */
|
||||
0, /* tp_dictoffset */
|
||||
0, /* tp_init */
|
||||
0, /* tp_alloc */
|
||||
tee_new, /* tp_new */
|
||||
PyObject_GC_Del, /* tp_free */
|
||||
};
|
||||
|
||||
/* cycle object **********************************************************/
|
||||
|
||||
typedef struct {
|
||||
|
@ -1824,6 +2082,7 @@ inititertools(void)
|
|||
PyObject *m;
|
||||
char *name;
|
||||
PyTypeObject *typelist[] = {
|
||||
&tee_type,
|
||||
&cycle_type,
|
||||
&dropwhile_type,
|
||||
&takewhile_type,
|
||||
|
|
Loading…
Reference in New Issue