Given a list of elements in lexicographical order (i.e. ['a', 'b', 'c', 'd']), find the nth permutation - Average time to solve?

I stumbled across this interview question:

Given a list of elements in lexicographical order (i.e. ['a', 'b', 'c', 'd']), find the nth permutation

I tried it myself, and it took me about ~30 minutes to solve. (I ended up with a ~8-9 line solution in Python). Just curious -- how long "should" it take to solve this type of problem? Am I taking too long?

9 min, including test

import math

def nthperm(li, n):
    n -= 1
    s = len(li)
    res = []
    if math.factorial(s) <= n:
        return None
    for x in range(s-1,-1,-1):
        f = math.factorial(x)
        d = n / f
        n -= d * f
        res.append(li[d])
        del(li[d])
    return res

#now that's fast...
nthperm(range(40), 123456789012345678901234567890)

Just in case someone is interested in a solution that can find the "i-th" permutation when you look at the "r-length-permutations" (as represented by the r argument of itertools.permutations):

from math import factorial

def ith_permutation(i, seq, r=None):
    li = list(seq)
    length = len(li)

    if r is None:
        r = length
    res = []
    current_factorial = factorial(length) // factorial(length - r)

    if current_factorial <= i:
        raise ValueError('out of range')

    for x in range(length, length-r, -1):
        current_factorial //= x
        div, mod = divmod(i, current_factorial)
        i = mod
        res.append(li[div])
        del(li[div])

    return res

For example:

>>> ith_permutationutation(10, [0, 1, 2, 3, 4], 2)
[2, 3]

>>> # correctness check:
>>> from itertools import permutations
>>> list(permutations([0, 1, 2, 3, 4], 2))[10]
(2, 3)

Including a more complete test:

s = range(8)
for n in range(len(s)):
    for idx, item in enumerate(permutations(s, n)):
        assert list(item) == ith_permutation(idx, s, n)

Some parts of Karoly Horvath's answer were used here.