[SOLVED] How to reduce time limit while performing operations on 10000 inputs from user in python3??

Question

Tle

Answer 1

from timeit import timeit
from random import randint

def f():
l=[randint(1, 100) for i in range(10000)]
p=randint(1, 10)
l1=[]
for i in l:
h=i^p
l1.append(h)

def g():
p=randint(1, 10)
l1=[randint(1, 100)^p for i in range(10000)]

print(timeit(f, number=100))
print(timeit(g, number=100))

To do any sort of testing, you need to create a setting that's testable. You'll hardly find people inputting 10000 values for you.

So I have tried to instead create 10000 random values. In one function I use your calculate-and-append mode, in another I create a list comp directly.

Then I test both functions with timeit to see which runs faster.

It seems to me that the listcomp version is slightly faster.

You can copy the pattern:

Make different algos for the same task, then run them with timeit to test which one performs better.

Answer 2

That's a question that is absolutely case-based.

Do you want to transform the user input into an int?

Or do you want to transform the user input into a chess move and calculate if it's checkmate?

Obviously one will take longer. ;-)

So in order to help you, we need details. Show us your code, then we can try to find ways to make it quicker.

Answer 3

What is the aim of the code? What are you planning to do eventually? And can you link it?

(Again: Performance optimization is code-specific.)

Answer 4

Thanks..

Answer 5

I am going to perfrom exor operation between a number and each element in list.... But the problem is the list is of 100000 elements.... So the result is TLE

Answer 6

Aim is to perform EXOR operation on each element in list

Answer 7

https://code.sololearn.com/c68OQIh0CJdA/?ref=app

Answer 8

Are you taking 10,000 user inputs at once?