I have seen this page https://wiki.python.org/moin/TimeComplexity but I don't see the reverse()
function in there for lists. What is the time time complexity of list
's reverse()
?
My experiments with time indicate that it is O(n)
for larger sizes. Can anyone confirm it ?
timeit Time to reverse a list of size
10 .1027
100 .2347
1000 .6704
10000 6.204
20000 12.9
The time complexity of reversing a linked list? It is linear in time i.e O(n) where n is the size of the linked list.
If there is a need to store the reverse copy of data then slicing can be used but if one only wants to iterate the list in reverse manner, reversed() is definitely the better option.
Time Complexity of this approach is O(N) where N is the length of the string to be reversed.
Python 3.8. 1 32-bit reversed is the only one much slower. Might explain why almost nobody else could reproduce it. In all seven other versions, reversed was a bit slower than iter .
Yes, you are right, it is O(n) where n - length of list. Look here for more information: https://www.ics.uci.edu/~pattis/ICS-33/lectures/complexitypython.txt
If you look into the implementation of the reverse
method here, then it looks as follows:
static PyObject *
listreverse(PyListObject *self)
{
if (Py_SIZE(self) > 1)
reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
Py_RETURN_NONE;
}
So, the operation is actually delegated to reverse_slice
. Then, let's look into it:
static void
reverse_slice(PyObject **lo, PyObject **hi)
{
assert(lo && hi);
--hi;
while (lo < hi) {
PyObject *t = *lo;
*lo = *hi;
*hi = t;
++lo;
--hi;
}
}
So, here are 2 indices initially set at the start and end of the list. Then, at each iteration of while
loop, elements at respective indices are swapped:
PyObject *t = *lo;
*lo = *hi;
*hi = t;
And then the left index gets incremented and the right one decremented:
++lo;
--hi;
The loop goes on as long as the right index exceeds the left one. So, if there're n
elements in the list, then there will be performed n/2
iterations and hence the time complexity is O(n)
Reversing a list either through an in-built library like reverse() or by using slicing a=a[::--] both are going to take the same amount of time i.e O(n)
If you see the algorithm is easy to view that the time complexity of reverse is O(n)
(linear time complexity) where n is the number of the element in the list.
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