问题
I'm doing some word segmentation experiments like the followings.
lst
is a sequence of characters, and output
is all the possible words.
lst = ['a', 'b', 'c', 'd']
def foo(lst):
...
return output
output = [['a', 'b', 'c', 'd'],
['ab', 'c', 'd'],
['a', 'bc', 'd'],
['a', 'b', 'cd'],
['ab', 'cd'],
['abc', 'd'],
['a', 'bcd'],
['abcd']]
I've checked combinations
and permutations
in itertools
library,
and also tried combinatorics.
However, it seems that I'm looking at the wrong side because this is not pure permutation and combinations...
It seems that I can achieve this by using lots of loops, but the efficiency might be low.
EDIT
The word order is important so combinations like ['ba', 'dc']
or ['cd', 'ab']
are not valid.
The order should always be from left to right.
EDIT
@Stuart's solution doesn't work in Python 2.7.6
EDIT
@Stuart's solution does work in Python 2.7.6, see the comments below.
回答1:
itertools.product
should indeed be able to help you.
The idea is this:- Consider A1, A2, ..., AN separated by slabs. There will be N-1 slabs. If there is a slab there is a segmentation. If there is no slab, there is a join. Thus, for a given sequence of length N, you should have 2^(N-1) such combinations.
Just like the below
import itertools
lst = ['a', 'b', 'c', 'd']
combinatorics = itertools.product([True, False], repeat=len(lst) - 1)
solution = []
for combination in combinatorics:
i = 0
one_such_combination = [lst[i]]
for slab in combination:
i += 1
if not slab: # there is a join
one_such_combination[-1] += lst[i]
else:
one_such_combination += [lst[i]]
solution.append(one_such_combination)
print solution
回答2:
#!/usr/bin/env python
from itertools import combinations
a = ['a', 'b', 'c', 'd']
a = "".join(a)
cuts = []
for i in range(0,len(a)):
cuts.extend(combinations(range(1,len(a)),i))
for i in cuts:
last = 0
output = []
for j in i:
output.append(a[last:j])
last = j
output.append(a[last:])
print(output)
output:
zsh 2419 % ./words.py
['abcd']
['a', 'bcd']
['ab', 'cd']
['abc', 'd']
['a', 'b', 'cd']
['a', 'bc', 'd']
['ab', 'c', 'd']
['a', 'b', 'c', 'd']
回答3:
There are 8 options, each mirroring the binary numbers 0 through 7:
000
001
010
011
100
101
110
111
Each 0 and 1 represents whether or not the 2 letters at that index are "glued" together. 0 for no, 1 for yes.
>>> lst = ['a', 'b', 'c', 'd']
... output = []
... formatstr = "{{:0{}.0f}}".format(len(lst)-1)
... for i in range(2**(len(lst)-1)):
... output.append([])
... s = "{:b}".format(i)
... s = str(formatstr.format(float(s)))
... lstcopy = lst[:]
... for j, c in enumerate(s):
... if c == "1":
... lstcopy[j+1] = lstcopy[j] + lstcopy[j+1]
... else:
... output[-1].append(lstcopy[j])
... output[-1].append(lstcopy[-1])
... output
[['a', 'b', 'c', 'd'],
['a', 'b', 'cd'],
['a', 'bc', 'd'],
['a', 'bcd'],
['ab', 'c', 'd'],
['ab', 'cd'],
['abc', 'd'],
['abcd']]
>>>
回答4:
You can use a recursive generator:
def split_combinations(L):
for split in range(1, len(L)):
for combination in split_combinations(L[split:]):
yield [L[:split]] + combination
yield [L]
print (list(split_combinations('abcd')))
Edit. I'm not sure how well this would scale up for long strings and at what point it hits Python's recursion limit. Similarly to some of the other answers, you could also use combinations
from itertools
to work through every possible combination of split-points.
def split_string(s, t):
return [s[start:finish] for start, finish in zip((None, ) + t, t + (None, ))]
def split_combinations(s):
for i in range(len(s)):
for split_points in combinations(range(1, len(s)), i):
yield split_string(s, split_points)
These both seem to work as intended in Python 2.7 (see here) and Python 3.2 (here). As @twasbrillig says, make sure you indent it as shown.
来源:https://stackoverflow.com/questions/27263155/python-find-all-possible-word-combinations-with-a-sequence-of-characters-word