tslearn/tests/test_metrics.py::test_masks fails

[gkoundry]

Describe the bug
tslearn/tests/test_metrics.py::test_masks fails

To Reproduce

git clone [email protected]:tslearn-team/tslearn.git
cd tslearn/
pip install -r requirements.txt
pip install pytest
pytest tslearn/tests/test_metrics.py

Expected behavior
All tests pass

Actual Behavior

>               np.testing.assert_allclose(
                    estimator1.fit(time_series).labels_, estimator2.fit(time_series).labels_
                )

tslearn/tests/test_metrics.py:436: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x7fb66f7749d0>, array([0, 2, 1, 2, 2, 2, 1, 2, 0, 1, 2, 1, 0, 2, 2]), array([1, 0, 0, 1, 1, 0, 2, 1, 0, 2, 0, 2, 0, 1, 1]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0', 'strict': False, ...}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0
E           
E           Mismatched elements: 13 / 15 (86.7%)
E           Max absolute difference among violations: 2
E           Max relative difference among violations: 1.
E            ACTUAL: array([0, 2, 1, 2, 2, 2, 1, 2, 0, 1, 2, 1, 0, 2, 2])
E            DESIRED: array([1, 0, 0, 1, 1, 0, 2, 1, 0, 2, 0, 2, 0, 1, 1])

Environment (please complete the following information):

• OS:Ubuntu 20
• Python 3.10
• tslearn version lastest master

Additional context
N/A