Time of execution in Python 3.3 - performance

Question

I read this topic because I forget a method I found in the net few month ago, and I don't know why I can't find it today, it was very simple and works good but...
So I tried one method but I think it doesn't work good or maybe my computer which is 5 years old is better than today's computer...
import time
debut=time.clock()
def t(n):
aaa=[]
b=n-1
c=0
if n==0 or n==1:
return 1
else:
while n != 1:
if n % 2==0:
n=n//2
aaa.append(n)
else:
n = n+b
aaa.append(n)
return [b,b+1]+aaa, len(aaa)+2
fin=time.clock()
print(t(100000),fin-debut)
For n=10.000.000 i can count in my head approx 5 secondes and computer always return 3.956927685067058e-06 ... can someone explain me ?
And the method I found, used this from time import perf_counter as pc
And I had to return print(pc()-t)
If someone can enlighten me because i really don't remember the method.
Thank you in advance

Answer 1

Look at the timeit module, https://docs.python.org/3.0/library/timeit.html.
you would set yours something like...
time = Timer( "t(100000)", "from __main__ import t")
print("time: ", timer.timeit(number=1000))

Answer 2

You are measuring the time it takes to define the function.
This will measure the execution of the function:
import time
def t(n):
aaa=[]
b=n-1
c=0
if n==0 or n==1:
return 1
else:
while n != 1:
if n % 2==0:
n=n//2
aaa.append(n)
else:
n = n+b
aaa.append(n)
return [b,b+1]+aaa, len(aaa)+2
start = time.time()
value = t(100000)
end = time.time()
duration = end - start
print(value, duration)