PEP3132 performances

from datetime import datetime


def with_list(iterable):
    t0 = datetime.now()
    first, rest = iterable[0], iterable[1:]
    t1 = datetime.now()
    return (t1-t0).total_seconds()

def with_extended(iterable):
    t0 = datetime.now()
    first, *rest = iterable
    t1 = datetime.now()
    return (t1-t0).total_seconds()

print("calculating average with range()")
print("AVG of\t list sl\t extended")
for i in range(2,7):
    lists = [with_list(range(1, 10**i)) for _ in range(50) ]
    extend = [with_extended(range(1, 10**i)) for _ in range(50) ]
    print("10**%d\t %.5f \t %.5f"% (i, sum(lists)/len(lists),  sum(extend)/len(extend)))





print("\ncalculating average with list(range())")
print("AVG \t list sl\t extended")
for i in range(2,7):
    lists = [with_list(list(range(1, 10**i))) for _ in range(50) ]
    extend = [with_extended(list(range(1, 10**i))) for _ in range(50) ]
    print("10**%d\t %.5f \t %.5f"% (i, sum(lists)/len(lists),  sum(extend)/len(extend)))




"""" OUTPUT
calculating average with range()
AVG of   list sl         extended
10**2    0.00002         0.00002
10**3    0.00002         0.00006│
10**4    0.00002         0.00045│
10**5    0.00001         0.00863
10**6    0.00002         0.08700

calculating average with list(range())
AVG      list sl         extended
10**2    0.00002         0.00002
10**3    0.00003         0.00002
10**4    0.00010         0.00011
10**5    0.00110         0.00114
10**6    0.01114         0.02591
""""