Python, 302 287 bytes
Dead Possum ya ha publicado una solución Pythonic corta, así que decidí ir por las felicitaciones adicionales. Esta solución no genera todas las permutaciones. Puede calcular rápidamente el índice de permutación de una cadena bastante grande; También maneja una cadena vacía correctamente.
from math import factorial as f
from itertools import groupby as g
def p(t,b=''):
if len(t)<2:return 0
z,b=0,b or sorted(t)
for i,c in enumerate(b):
w=b[:i]+b[i+1:]
if c==t[0]:return z+p(t[1:],w)
if i<1 or c!=b[i-1]:
n=f(len(w))
for _,v in g(w):n//=f(len(list(v)))
z+=n
Código de prueba:
def lexico_permute_string(s):
''' Generate all permutations of `s` in lexicographic order '''
a = sorted(s)
n = len(a) - 1
while True:
yield ''.join(a)
for j in range(n-1, -1, -1):
if a[j] < a[j + 1]:
break
else:
return
v = a[j]
for k in range(n, j, -1):
if v < a[k]:
break
a[j], a[k] = a[k], a[j]
a[j+1:] = a[j+1:][::-1]
def test_all(base):
for i, s in enumerate(lexico_permute_string(base)):
rank = p(s)
assert rank == i, (i, s, rank)
print('{:2} {} {:2}'.format(i, s, rank))
print(repr(base), 'ok\n')
for base in ('AAB', 'abbbbc'):
test_all(base)
def test(s):
print('{!r}\n{}\n'.format(s, p(s)))
for s in ('ZZZ', 'DCBA', 'a quick brown fox jumps over the lazy dog'):
test(s)
salida
0 AAB 0
1 ABA 1
2 BAA 2
'AAB' ok
0 abbbbc 0
1 abbbcb 1
2 abbcbb 2
3 abcbbb 3
4 acbbbb 4
5 babbbc 5
6 babbcb 6
7 babcbb 7
8 bacbbb 8
9 bbabbc 9
10 bbabcb 10
11 bbacbb 11
12 bbbabc 12
13 bbbacb 13
14 bbbbac 14
15 bbbbca 15
16 bbbcab 16
17 bbbcba 17
18 bbcabb 18
19 bbcbab 19
20 bbcbba 20
21 bcabbb 21
22 bcbabb 22
23 bcbbab 23
24 bcbbba 24
25 cabbbb 25
26 cbabbb 26
27 cbbabb 27
28 cbbbab 28
29 cbbbba 29
'abbbbc' ok
'ZZZ'
0
'DCBA'
23
'a quick brown fox jumps over the lazy dog'
436629906477779191275460617121351796379337
Versión sin golf:
''' Determine the rank (lexicographic index) of a permutation
The permutation may contain repeated items
Written by PM 2Ring 2017.04.03
'''
from math import factorial as fac
from itertools import groupby
def lexico_permute_string(s):
''' Generate all permutations of `s` in lexicographic order '''
a = sorted(s)
n = len(a) - 1
while True:
yield ''.join(a)
for j in range(n-1, -1, -1):
if a[j] < a[j + 1]:
break
else:
return
v = a[j]
for k in range(n, j, -1):
if v < a[k]:
break
a[j], a[k] = a[k], a[j]
a[j+1:] = a[j+1:][::-1]
def perm_count(s):
''' Count the total number of permutations of sorted sequence `s` '''
n = fac(len(s))
for _, g in groupby(s):
n //= fac(sum(1 for u in g))
return n
def perm_rank(target, base):
''' Determine the permutation rank of string `target`
given the rank zero permutation string `base`,
i.e., the chars in `base` are in lexicographic order.
'''
if len(target) < 2:
return 0
total = 0
head, newtarget = target[0], target[1:]
for i, c in enumerate(base):
newbase = base[:i] + base[i+1:]
if c == head:
return total + perm_rank(newtarget, newbase)
elif i and c == base[i-1]:
continue
total += perm_count(newbase)
base = 'abcccdde'
print('total number', perm_count(base))
for i, s in enumerate(lexico_permute_string(base)):
rank = perm_rank(s, base)
assert rank == i, (i, s, rank)
#print('{:2} {} {:2}'.format(i, s, rank))
print('ok')
Acerca de lexico_permute_string
Este algoritmo, debido a Narayana Pandita, es de
https://en.wikipedia.org/wiki/Permutation#Generation_in_lexicographic_order
Para producir la próxima permutación en orden lexicográfico de secuencia a
- Encuentre el índice más grande j tal que a [j] <a [j + 1]. Si no existe dicho índice, la permutación es la última permutación.
- Encuentre el índice más grande k mayor que j tal que a [j] <a [k].
- Cambie el valor de a [j] con el de a [k].
- Invierta la secuencia desde a [j + 1] hasta e incluyendo el elemento final a [n].
FWIW, puedes ver una versión anotada de esa función aquí .
FWIW, aquí está la función inversa.
def perm_unrank(rank, base, head=''):
''' Determine the permutation with given rank of the
rank zero permutation string `base`.
'''
if len(base) < 2:
return head + ''.join(base)
total = 0
for i, c in enumerate(base):
if i < 1 or c != base[i-1]:
newbase = base[:i] + base[i+1:]
newtotal = total + perm_count(newbase)
if newtotal > rank:
return perm_unrank(rank - total, newbase, head + c)
total = newtotal
# Test
target = 'a quick brown fox jumps over the lazy dog'
base = ''.join(sorted(target))
rank = perm_rank(target, base)
print(target)
print(base)
print(rank)
print(perm_unrank(rank, base))
salida
a quick brown fox jumps over the lazy dog
aabcdeefghijklmnoooopqrrstuuvwxyz
436629906477779191275460617121351796379337
a quick brown fox jumps over the lazy dog
Y aquí hay una función que escribí durante el desarrollo perm_unrank
que muestra el desglose de los subcontes.
def counts(base):
for i, c in enumerate(base):
newbase = base[:i] + base[i+1:]
if newbase and (i < 1 or c != base[i-1]):
yield c, perm_count(newbase)
for h, k in counts(newbase):
yield c + h, k
def show_counts(base):
TAB = ' ' * 4
for s, t in counts(base):
d = len(s) - 1
print('{}{} {}'.format(TAB * d, s, t))
# Test
base = 'abccc'
print('total number', perm_count(base))
show_counts(base)
salida
a 4
ab 1
abc 1
abcc 1
ac 3
acb 1
acbc 1
acc 2
accb 1
accc 1
b 4
ba 1
bac 1
bacc 1
bc 3
bca 1
bcac 1
bcc 2
bcca 1
bccc 1
c 12
ca 3
cab 1
cabc 1
cac 2
cacb 1
cacc 1
cb 3
cba 1
cbac 1
cbc 2
cbca 1
cbcc 1
cc 6
cca 2
ccab 1
ccac 1
ccb 2
ccba 1
ccbc 1
ccc 2
ccca 1
cccb 1