list comprehension perf without filter

from timeit import timeit


def setup():
    cities_hab = dict({
        "Chicago": 9_526_434,
    "Londre": 14_257_962,
    "Lyon": 513_275,
    "Xi'an": 8_467_837,
        })
    return cities_hab


def do_nothing(name):
    pass

def without_lc(cities_hab):
    for city_name in cities_hab.keys():
        do_nothing(city_name)


def with_lc(cities_hab):
    [do_nothing(city_name) for city_name in cities_hab.keys()]


def with_map(cities_hab):
    map(do_nothing, cities_hab.keys())


if __name__ == '__main__':
    t1 = timeit('without_lc(cities_hab)',
                setup='from __main__ import without_lc, do_nothing, setup; cities_hab = setup()',
                number=100000)
    t2 = timeit('with_lc(cities_hab)',
                setup='from __main__ import with_lc, do_nothing, setup; cities_hab = setup()',
                number=100000)
    t3 = timeit('with_map(cities_hab)',
                setup='from __main__ import with_map, do_nothing, setup; cities_hab = setup()',
                number=100000)
    print(t1, t2, t3)