O(1): we are directly fetching the records, it'll only run once with each input.
O(2n + 2):- 2n: Depends on the input we provide to the function.and it'll loop 'n' times and having two rows inside loop, we can multiply 'n*2'. - 2: we have 'return' statement and 'number=[]', add two with it.O(n): Final verison, on a larger scale we can remove the addition and multipication of 2.
O(2n + 2): getNumbers as same astask1.pyO(2n + 2): get_total_time loop over n with 2 lines inside it and other 2 lines in the function.O(2n + 2) + O(2n + 2): TotalO(n): Final verison
O(2n + 2): bangalore_calls loopntimes and having two rows inside loop, add two with it, as we havereturnandbangalore_calls.O(4n + 3) + O(n log n): bangalore_ n-loop with 4 lines inside loop and other 3 lines + sorted() function onreturn.O(2n + 2): area_calls n-loops with 2 lines inside it and 2 lines in the function.- Total:
O(2n + 2) + O(4n + 2) + O(n log n) + O(2n + 2)O(2n) + O(4n) + O(n log n) + O(2n): removed constants O(2n + 4n + 2n) + O(n log n): summing all upO(n log n): Final verison removed small constant and numbers as it does not affect in large iterations
O(4n+1): texts_checks since it'll loop overntimes accoding to the data we provide and having 4 rows inside the loop, we are multiplying the the n with 4.O(2n + 1): call_checks same as above, but2*nbecause it've only 2 rows inside the loop.loop: O(n) + O(n log n): last print loop as it will loop over all the telemarketers and it is also sorting the list.O(4n + 1) + O(2n + 1) + O(n) + O(n log n): TotalO(4n + 3n) + O(n log n): removed constantsO(n log n): Final verison