# Licensed under an MIT open source license - see LICENSE

from ..statistics import stats_wrapper
from ._testing_data import \
    dataset1, dataset2


def test_wrapper():

    run_wrapper = stats_wrapper(dataset1, dataset2)

# Licensed under an MIT open source license - see LICENSE

import pytest
import numpy as np

from ..statistics import stats_wrapper, statistics_list
from ._testing_data import \
    dataset1, dataset2

spacers = np.arange(2, len(statistics_list) + 1, 2)


# Split these into smaller tests to avoid timeout errors on Travis
@pytest.mark.parametrize(('stats'),
                         [statistics_list[i - 2:i] for i in
                          spacers])
def test_wrapper(stats):

    stats_wrapper(dataset1, dataset2,
                  statistics=stats)

Split wrapper tests into smaller chunks
Split wrapper tests into smaller chunks
