Here's a more efficient approach, using the algorithm of the 14th century Indian mathematician Narayana Pandita, which can be found in the Wikipedia article on Permutation. This ancient algorithm is still one of the fastest known ways to generate permutations in order, and it is quite robust, in that it properly handles permutations that contain repeated elements.
The code below includes a simple test()
function that generates all permutations of an ordered numeric string.
#! /usr/bin/env python
''' Find the next permutation in lexicographic order after a given permutation
This algorithm, due to Narayana Pandita, is from
https://en.wikipedia.org/wiki/Permutation#Generation_in_lexicographic_order
1. Find the largest index j such that a[j] < a[j + 1]. If no such index exists,
the permutation is the last permutation.
2. Find the largest index k greater than j such that a[j] < a[k].
3. Swap the value of a[j] with that of a[k].
4. Reverse the sequence from a[j + 1] up to and including the final element a[n].
Implemented in Python by PM 2Ring 2015.07.28
'''
import sys
def next_perm(a):
''' Advance permutation a to the next one in lexicographic order '''
n = len(a) - 1
#1. Find the largest index j such that a[j] < a[j + 1]
for j in range(n-1, -1, -1):
if a[j] < a[j + 1]:
break
else:
#This must be the last permutation
return False
#2. Find the largest index k greater than j such that a[j] < a[k]
v = a[j]
for k in range(n, j, -1):
if v < a[k]:
break
#3. Swap the value of a[j] with that of a[k].
a[j], a[k] = a[k], a[j]
#4. Reverse the tail of the sequence
a[j+1:] = a[j+1:][::-1]
return True
def test(n):
''' Print all permutations of an ordered numeric string (1-based) '''
a = [str(i) for i in range(1, n+1)]
i = 0
while True:
print('%2d: %s' % (i, ''.join(a)))
i += 1
if not next_perm(a):
break
def main():
s = sys.argv[1] if len(sys.argv) > 1 else '781623954'
a = list(s)
next_perm(a)
print('%s -> %s' % (s, ''.join(a)))
if __name__ == '__main__':
#test(4)
main()
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