Answer:
Let L and R be the sub-trees underneath the root r.
If the height of L (where we consider height to be the maximum length of all root-leaf paths) is ∆ more than that of R, ∆ ≥ 0, then the length of the edge (r, R) is increased by ∆.
Then, we separately perform the same cycle over L and R.
Once more, by induction, argue that this greedy algorithm is efficient –
when it does not increase the length of (r, R) edge by ∆, then prove that the solution can be improved.
I think it is C. cross-site scripting
Answer:
def select_short_strings(string_list):
new_list = []
for s in string_list:
if len(s) < 20:
new_list.append(s)
return new_list
lst = ["apple", "I am learning Python and it is fun!", "I love programming, it is easy", "orange"]
print(select_short_strings(lst))
Explanation:
- Create a function called <em>select_short_strings</em> that takes one argument <em>string_list</em>
Inside the function:
- Initialize an empty list to hold the strings that are less than 20
- Inside the loop, check the strings inside <em>string_list</em> has a length that is smaller than 20. If found one, put it to the <em>new_list</em>.
- When the loop is done, return the <em>new_list</em>
- Create a list to check and call the function
No
.................................. :)
