failing region_k_means test with bleeding edge libpysal #346
Description
This seems to have started failing with pysal/libpysal#511. However, adding either sort_joins={True, False} to this line results in the same failure. Perhaps I am missing an obvious detail?
[gw1] darwin -- Python 3.11.0 /Users/the-gaboardi/miniconda3/envs/py311_spopt/bin/python3.11
self = <spopt.tests.test_region_k_means.TestRegionKMeansHeuristic object at 0x168a95f90>
@pytest.mark.filterwarnings("ignore:The weights matrix is not fully")
def test_region_k_means_heuristic_synth_small(self):
model = RegionKMeansHeuristic(
self.data_small, self.reg_small, self.w_small, seed=RANDOM_STATE
)
model.solve()
> numpy.testing.assert_equal(model.labels_, self.known_labels_small)
spopt/tests/test_region_k_means.py:45:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<built-in function eq>, array([1, 0, 0, 0, 1, 2, 1, 0, 2]), [1, 1, 1, 0, 1, 2, ...])
kwds = {'err_msg': '', 'header': 'Arrays are not equal', 'strict': False, 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Arrays are not equal
E
E Mismatched elements: 3 / 9 (33.3%)
E Max absolute difference: 1
E Max relative difference: 1.
E x: array([1, 0, 0, 0, 1, 2, 1, 0, 2])
E y: array([1, 1, 1, 0, 1, 2, 0, 0, 2])
../miniconda3/envs/py311_spopt/lib/python3.11/contextlib.py:81: AssertionError
cc @knaaptime