Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())))

def loop(a,k):
  if k>41:
    ans=np.ones(N)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(int(i))

Fixed submission:
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
@jit
def loop(a,k):
  if k>41:
    ans=np.ones(N,dtype=np.int64)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1,dtype=np.int64)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(i)

Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
B=np.zeros(N+1,dtype=np.int64)
if K>41:
  A=np.ones(N,dtype=np.int64)*N
else:
  for k in range(K):
    for i in range(N):
      B[max(0,i-int(A[i]))] +=1
      B[min(N,i+int(A[i])+1)] -=1
    A=np.cumsum(B)[:N]
    B=np.zeros(N+1,dtype=np.int64)

for i in A:
  print(i)

Fixed submission:
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
@jit
def loop(a,k):
  if k>41:
    ans=np.ones(N,dtype=np.int64)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1,dtype=np.int64)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(i)

Buggy python submission (verdict: Runtime Error):
import numpy as np
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=int64)
B=np.zeros(N+1,dtype=int64)
if K>41:
  A=np.ones(N,dtype=int64)*N
else:
  for k in range(K):
    for i in range(N):
      B[max(0,i-int(A[i]))] +=1
      B[min(N,i+int(A[i])+1)] -=1
    A=np.cumsum(B)[:N]
    B=np.zeros(N+1,dtype=int64)

for i in A:
  print(i)

Fixed submission:
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
@jit
def loop(a,k):
  if k>41:
    ans=np.ones(N,dtype=np.int64)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1,dtype=np.int64)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(i)

Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())))
B=np.zeros(N+1)
if K>41:
  A=np.ones(N)*N
else:
  for k in range(K):
    for i in range(N):
      B[max(0,i-int(A[i]))] +=1
      B[min(N,i+int(A[i])+1)] -=1
    A=np.cumsum(B)[:N]
    B=np.zeros(N+1)

for i in A:
  print(int(i))

Fixed submission:
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
@jit
def loop(a,k):
  if k>41:
    ans=np.ones(N,dtype=np.int64)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1,dtype=np.int64)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(i)

Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())))
B=np.zeros(N+1)
if K>41:
  A=np.ones(N)*N
else:
  for k in range(K):
    for i in range(N):
      B[max(0,i-int(A[i]))] +=1
      B[min(N,i+int(A[i])+1)] -=1
    A=np.cumsum(B)[:N]
    B=np.zeros(N+1)

for i in list(map(int,A)):
  print(i,end=" ")

Fixed submission:
import numpy as np
from numba import jit
N,K=map(int,input().split())
A=np.array(list(map(int,input().split())),dtype=np.int64)
@jit
def loop(a,k):
  if k>41:
    ans=np.ones(N,dtype=np.int64)*N
  else:
    ans=a
    for j in range(k):
      B=np.zeros(N+1,dtype=np.int64)
      for i in range(N):
        B[max(0,i-int(ans[i]))] +=1
        B[min(N,i+int(ans[i])+1)] -=1
      ans=np.cumsum(B)[:N]
  return ans

for i in loop(A,K):
  print(i)