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Program to find number of sequences after adjacent k swaps and at most k swaps in Python
Suppose we have an array A with first n natural numbers. We have to find how many sequences (S1) can we get after exact k adjacent swaps on A? And how many sequences (S2) can we get after at most k swaps on A? Here the adjacent swap means swapping elements at index i and i+1.
So, if the input is like n = 3 k = 2, then the output will be 3, 6 because −
Original array was [1, 2, 3]
- After 2 adjacent swaps: we can get [1, 2, 3], [2, 3, 1], [3, 1, 2] So S1 = 3
- After at most 2 swaps:
- After 0 swap: [1, 2, 3]
- After 1 swap: [2, 1, 3], [3, 2, 1], [1, 3, 2].
- After 2 swaps: [1, 2, 3], [2, 3, 1], [3, 1, 2]
So S2 = 6
To solve this, we will follow these steps −
- p = 10^9+7
- A := an array with only one element 1
- C := an array with only one element 1
- for n in range 2 to n+1, do
- B := A, A := an array with only one element 1
- D := C, C := an array with only one element 1
- for x in range 1 to minimum of (k+1 and sum of all numbers from 1 to n)
- insert(last element of A + (B[x] when x < size of B otherwise 0) - (B[x-n] when 0 <= x-n otherwise 0)) mod p) at the end of A
- for x in range 1 to n-2, do
- insert ((D[x]+(n-1)*D[x-1]) mod p) at the end of C
- insert (n * last element of D) mod p at the end of C
- return sum of all elements of A[from index k mod 2 to k]) mod p and C[minimum of n-1 and k]
Example
Let us see the following implementation to get better understanding −
p = 10**9+7
def solve(n, k):
A = [1]
C = [1]
for n in range(2,n+1):
B = A
A = [1]
D = C
C = [1]
for x in range(1,min(k+1,n*(n-1)//2+1)):
A.append((A[-1] + (B[x] if x<len(B) else 0) - (B[x-n] if 0<=x-n else 0)) % p )
for x in range(1,n-1):
C.append((D[x]+(n-1)*D[x-1]) % p)
C.append(n*D[-1] % p)
return sum(A[k%2:k+1:2]) % p,C[min(n-1,k)]
n = 3
k = 2
print(solve(n, k))Input
3, 2
Output
3, 6
Updated on: 23-Oct-2021
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