So I am implementing a block swap algorithm in python.
The algorithm I am following is this:
Initialize A = arr[0..d-1] and B = arr[d..n-1] 1) Do following u
A simple and shorthand syntax for array rotation in Python is
arr = arr[numOfRotations:]+arr[:numOfRotations]
Example:
arr = [1,2,3,4,5]
rotations = 4
then
arr = arr[4:]+arr[:4]
gives us
[5,1,2,3,4]
I expect that when you pass a slice of a to your recursive call, you're not passing the same variable any more. Try passing a in its entirety and the upper / lower bounds of your slice as additional arguments to your function.
For instance consider this function:
def silly(z):
z[0] = 2
I just tried the following:
>>> z = [9,9,9,9,9,9]
>>> silly(z)
>>> z
[2, 9, 9, 9, 9, 9]
>>> silly(z[3:])
>>> z
[2, 9, 9, 9, 9, 9]
Where you can see the modification to the slice was not retained by the full array
Out of curiosity, what outputs do you get & what outputs do you expect?
I found a problem that I needed Right and Left rotations for big values of k (where k is number of rotations), so, I implemented the following functions for any size of k.
Right Circular Rotation (left to the right: 1234 -> 4123):
def right_rotation(a, k):
# if the size of k > len(a), rotate only necessary with
# module of the division
rotations = k % len(a)
return a[-rotations:] + a[:-rotations]
Left Circular Rotation (right to the left: 1234 -> 2341):
def left_rotation(a, k):
# if the size of k > len(a), rotate only necessary with
# module of the division
rotations = k % len(a)
return a[rotations:] + a[:rotations]
Sources:
Do you actually need to implement the block swap or are you just looking to rotate the array? In python you can do CW and CWW rotations using
zip(*arr[::-1])
and
zip(*arr)[::-1]
def leftRotation():
li = [int(x) for x in input().split()]
d = int(input())
ans = (li[d:]+li[0:d])
for i in ans:
print(i,end=' ')
print()
leftRotation()
You can rotate a list in place in Python by using a deque:
>>> from collections import deque
>>> d=deque([1,2,3,4,5])
>>> d
deque([1, 2, 3, 4, 5])
>>> d.rotate(2)
>>> d
deque([4, 5, 1, 2, 3])
>>> d.rotate(-2)
>>> d
deque([1, 2, 3, 4, 5])
Or with list slices:
>>> li=[1,2,3,4,5]
>>> li[2:]+li[:2]
[3, 4, 5, 1, 2]
>>> li[-2:]+li[:-2]
[4, 5, 1, 2, 3]
Note that the sign convention is opposite with deque.rotate vs slices.
If you want a function that has the same sign convention:
def rotate(l, y=1):
if len(l) == 0:
return l
y = -y % len(l) # flip rotation direction
return l[y:] + l[:y]
>>> rotate([1,2,3,4,5],2)
[4, 5, 1, 2, 3]
>>> rotate([1,2,3,4,5],-22)
[3, 4, 5, 1, 2]
>>> rotate('abcdefg',3)
'efgabcd'
For numpy, just use np.roll
>>> a
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.roll(a, 1)
array([9, 0, 1, 2, 3, 4, 5, 6, 7, 8])
>>> np.roll(a, -1)
array([1, 2, 3, 4, 5, 6, 7, 8, 9, 0])
Or you can use a numpy version of the same rotate
above (again noting the difference in sign vs np.roll
):
def rotate(a,n=1):
if len(a) == 0:
return a
n = -n % len(a) # flip rotation direction
return np.concatenate((a[n:],a[:n]))