mirror of https://github.com/python/cpython
Document impending updates to itertools.
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@ -76,17 +76,30 @@ loops that truncate the stream.
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yield element
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.. function:: itertools.chain.from_iterable(iterable)
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Alternate constructor for :func:`chain`. Gets chained inputs from a
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single iterable argument that is evaluated lazily. Equivalent to::
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@classmethod
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def from_iterable(iterables):
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for it in iterables:
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for element in it:
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yield element
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.. versionadded:: 2.6
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.. function:: combinations(iterable, r)
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Return successive *r* length combinations of elements in the *iterable*.
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Combinations are emitted in a lexicographic sort order. So, if the
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Combinations are emitted in lexicographic sort order. So, if the
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input *iterable* is sorted, the combination tuples will be produced
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in sorted order.
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Elements are treated as unique based on their position, not on their
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value. So if the input elements are unique, there will be no repeat
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values within a single combination.
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values in each combination.
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Each result tuple is ordered to match the input order. So, every
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combination is a subsequence of the input *iterable*.
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@ -340,6 +353,26 @@ loops that truncate the stream.
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.. versionadded:: 2.6
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.. function:: permutations(iterable[, r])
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Return successive *r* length permutations of elements in the *iterable*.
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If *r* is not specified or is ``None``, then *r* defaults to the length
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of the *iterable* and all possible full-length permutations
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are generated.
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Permutations are emitted in lexicographic sort order. So, if the
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input *iterable* is sorted, the permutation tuples will be produced
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in sorted order.
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Elements are treated as unique based on their position, not on their
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value. So if the input elements are unique, there will be no repeat
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values in each permutation.
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Example: ``permutations(range(3),2) --> (1,2) (1,3) (2,1) (2,3) (3,1) (3,2)``
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.. versionadded:: 2.6
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.. function:: product(*iterables[, repeat])
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Cartesian product of input iterables.
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@ -560,13 +593,13 @@ which incur interpreter overhead. ::
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def ncycles(seq, n):
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"Returns the sequence elements n times"
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return chain(*repeat(seq, n))
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return chain.from_iterable(repeat(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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return list(chain.from_iterable(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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@ -575,8 +608,7 @@ which incur interpreter overhead. ::
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"""
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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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return starmap(func, repeat(args, times))
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def pairwise(iterable):
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"s -> (s0,s1), (s1,s2), (s2, s3), ..."
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@ -593,7 +625,7 @@ which incur interpreter overhead. ::
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def roundrobin(*iterables):
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"roundrobin('abc', 'd', 'ef') --> 'a', 'd', 'e', 'b', 'f', 'c'"
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# Recipe contributed by George Sakkis
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# Recipe credited to George Sakkis
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pending = len(iterables)
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nexts = cycle(iter(it).next for it in iterables)
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while pending:
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@ -605,8 +637,9 @@ which incur interpreter overhead. ::
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nexts = cycle(islice(nexts, pending))
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def powerset(iterable):
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"powerset('ab') --> set([]), set(['b']), set(['a']), set(['a', 'b'])"
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skip = object()
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for t in product(*izip(repeat(skip), iterable)):
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yield set(e for e in t if e is not skip)
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"powerset('ab') --> set([]), set(['a']), set(['b']), set(['a', 'b'])"
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# Recipe credited to Eric Raymond
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pairs = [(2**i, x) for i, x in enumerate(iterable)]
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for n in xrange(2**len(pairs)):
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yield set(x for m, x in pairs if m&n)
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