Benchmark of list comprehension and generator being provided to tuple()

bench_list_comprehension_generator.py

import pyperf

small_data = {"a": 1, "b": 2, "c": 3}

large_data = {}
for k, v in enumerate(range(100_000)):
    large_data[k] = v


def list_comprehension(loops, data):
    range_it = range(loops)
    t0 = pyperf.perf_counter()

    for loop in range_it:
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])
        tuple([(key, value) for key, value in data.items()])

    return pyperf.perf_counter() - t0


def generator(loops, data):
    range_it = range(loops)
    t0 = pyperf.perf_counter()

    for loop in range_it:
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())
        tuple((key, value) for key, value in data.items())

    return pyperf.perf_counter() - t0


tests = (list_comprehension, generator)
data_sets = {
    "small": small_data,
    "large": large_data,
}

runner = pyperf.Runner()
for name, data_set in data_sets.items():
    for test in tests:
        test_name = test.__name__ + " " + name
        runner.bench_time_func(test_name, test, data_set)