itertools.product eliminating repeated elements

人盡茶涼 提交于 2019-11-30 21:02:52

itertools generally works on unique positions within inputs, not on unique values. So when you want to remove duplicate values, you generally have to either post-process the itertools result sequence, or "roll your own". Because post-processing can be very inefficient in this case, roll your own:

def uprod(*seqs):
    def inner(i):
        if i == n:
            yield tuple(result)
            return
        for elt in sets[i] - seen:
            seen.add(elt)
            result[i] = elt
            for t in inner(i+1):
                yield t
            seen.remove(elt)

    sets = [set(seq) for seq in seqs]
    n = len(sets)
    seen = set()
    result = [None] * n
    for t in inner(0):
        yield t

Then, e.g.,

>>> print list(uprod([1, 2, 1], [2, 4, 4], [5, 6, 5]))
[(1, 2, 5), (1, 2, 6), (1, 4, 5), (1, 4, 6), (2, 4, 5), (2, 4, 6)]
>>> print list(uprod([1], [1, 2], [1, 2, 4], [1, 5, 6]))
[(1, 2, 4, 5), (1, 2, 4, 6)]
>>> print list(uprod([1], [1, 2, 4], [1, 5, 6], [1]))
[]
>>> print list(uprod([1, 2], [3, 4]))
[(1, 3), (1, 4), (2, 3), (2, 4)]

This can be much more efficient, since a duplicate value is never even considered (neither within an input iterable, nor across them).

lis1 = [1,2]
lis2 = [2,4]
lis3 = [5,6]
from itertools import product
print [i for i in product(lis1,lis2,lis3) if len(set(i)) == 3]

Output

[(1, 2, 5), (1, 2, 6), (1, 4, 5), (1, 4, 6), (2, 4, 5), (2, 4, 6)]

With itertools.combinations there will be no repeated elements in sorted order:

>>> lis = [1, 2, 4, 5, 6]
>>> list(itertools.combinations(lis, 3))
[(1, 2, 4), (1, 2, 5), (1, 2, 6), (1, 4, 5), (1, 4, 6), (1, 5, 6), (2, 4, 5), 
(2, 4, 6), (2, 5, 6), (4, 5, 6)]
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