Numba Slows Down My Program Instead Of Speeding It Up

I came across a piece of code which did the job I wanted it to do a lot quicker than my original code did. However, unlike my original code this one is slowed down by the numba jit

Solution 1:

You have to adopt your code for jit-compiling:

@numba.njit
def sum_factors(n):  
    result = 1
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            result += i + n//i
    return result

def amicable_pair(number):
    result = []
    for x in range(1,number+1):
        y = sum_factors(x)
        if sum_factors(y) == x and x != y:
            result.append(tuple(sorted((x,y))))
    return set(result)
print(amicable_pair(100000))