Easy
Prime Arrangements — Python
Full explanation · Time O(nlog(logn)) · Space O(n)
# Time: O(n/2 + n/3 + ... + n/p) = O(nlog(logn)), see https://mathoverflow.net/questions/4596/on-the-series-1-2-1-3-1-5-1-7-1-11
# Space: O(n)
class Solution(object):
def numPrimeArrangements(self, n):
"""
:type n: int
:rtype: int
"""
def count_primes(n):
if n <= 1:
return 0
is_prime = [True]*((n+1)//2)
cnt = len(is_prime)
for i in xrange(3, n+1, 2):
if i*i > n:
break
if not is_prime[i//2]:
continue
for j in xrange(i*i, n+1, 2*i):
if not is_prime[j//2]:
continue
cnt -= 1
is_prime[j//2] = False
return cnt
def factorial(n):
result = 1
for i in xrange(2, n+1):
result = (result*i)%MOD
return result
MOD = 10**9+7
cnt = count_primes(n)
return factorial(cnt) * factorial(n-cnt) % MOD