Reputation: 1423
I'm trying to solve a problem using backtracking and I need the permutations of numbers for it. I have this basic algorithm that does it but the problem is... the results don't come in the normal order.
def perm(a,k=0):
if(k==len(a)):
print(a)
else:
for i in range(k,len(a)):
a[k],a[i] = a[i],a[k]
perm(a, k+1)
a[k],a[i] = a[i],a[k]
Example: for [1,2,3] the normal results would be: [1,2,3] [1,3,2] [2,1,3] [2,3,1] [3,1,2] [3,2,1]
Whereas this algorithm will interchange the last 2 elements. I understand why. I just don't know how to correct this.
I don't want to use the permutations from itertools. Can the code above be easily fixed to work properly? What would be the complexity for this algorithm from above?
Upvotes: 0
Views: 1793
Reputation: 73460
A recursive generator function that yields permutations in the expected order with regard to the original list:
def perm(a):
if len(a) <= 1:
yield a
else:
for i in xrange(len(a)):
for p in perm(a[:i]+a[i+1:]):
yield [a[i]]+p
a = [1, 2, 3]
for p in perm(a):
print(p)
[1, 2, 3]
[1, 3, 2]
[2, 1, 3]
[2, 3, 1]
[3, 1, 2]
[3, 2, 1]
Upvotes: 2
Reputation: 27283
Here's one (suboptimal, because copying lists all the time) solution:
def perm(a, prev=[]):
if not a:
print(prev)
for index, element in enumerate(a):
perm(a[:index] + a[index+1:], prev + [element])
The order it is printed out:
>>> perm([1,2,3])
[1, 2, 3]
[1, 3, 2]
[2, 1, 3]
[2, 3, 1]
[3, 1, 2]
[3, 2, 1]
Upvotes: 1