hyperjson 0.2.4

import sys
import random
import pytest

benchmark = pytest.importorskip('pytest_benchmark')

composite_object = {
    'words': """
        Lorem ipsum dolor sit amet, consectetur adipiscing
        elit. Mauris adipiscing adipiscing placerat.
        Vestibulum augue augue,
        pellentesque quis sollicitudin id, adipiscing.
        """,
    'list': list(range(200)),
    'dict': dict((str(i), 'a') for i in list(range(200))),
    'int': 100100100,
    'float': 100999.123456
}

doubles = [sys.maxsize * random.random() for _ in range(256)]
unicode_strings = [
    "نظام الحكم سلطاني وراثي في الذكور من ذرية السيد تركي بن سعيد بن سلطان ويشترط فيمن يختار لولاية الحكم من بينهم ان يكون مسلما رشيدا عاقلا ًوابنا شرعيا لابوين عمانيين " for _ in range(256)]
strings = ["A pretty long string which is in a list"] * 256

booleans = [True] * 256

list_dicts = [{str(random.random()*20): int(random.random()*1000000)}
              for _ in range(100)]

dict_lists = {}
for y in range(100):
    arrays = []
    for x in range(100):
        arrays.append({str(random.random() * 20): int(random.random()*1000000)})
        dict_lists[str(random.random() * 20)] = arrays

user = {
    "userId": 3381293,
    "age": 213,
    "username": "johndoe",
    "fullname": u"John Doe the Second",
    "isAuthorized": True,
    "liked": 31231.31231202,
    "approval": 31.1471,
    "jobs": [1, 2],
    "currJob": None
}

friends = [user, user, user, user, user, user, user, user]
complex_object = [
    [user, friends],  [user, friends],  [user, friends],
    [user, friends],  [user, friends],  [user, friends]
]
datasets = [('composite object', composite_object),
            ('256 doubles array', doubles),
            ('256 unicode array', unicode_strings),
            ('256 ascii array', strings),
            ('256 Trues array', booleans),
            ('100 dicts array', list_dicts),
            # ('100 arrays dict', dict_lists),
            ('complex object', complex_object),
            ]


@pytest.mark.benchmark(group='serialize')
@pytest.mark.parametrize('data', [d[1] for d in datasets], ids=[d[0] for d in datasets])
def test_dumps(contender, data, benchmark):
    benchmark(contender.dumps, data)


@pytest.mark.benchmark(group='deserialize')
@pytest.mark.parametrize('data', [d[1] for d in datasets], ids=[d[0] for d in datasets])
def test_loads(contender, data, benchmark):
    data = contender.dumps(data)
    benchmark(contender.loads, data)