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import numpy
from numpy.testing import assert_equal
from mhcflurry import ensemble_centrality
def test_robust_mean():
arr1 = numpy.array([
[1, 2, 3, 4, 5],
[-10000, 2, 3, 4, 100000],
])
results = ensemble_centrality.robust_mean(arr1)
assert_equal(results, [3, 3])
# Should ignore nans.
arr2 = numpy.array([
[1, 2, 3, 4, 5],
[numpy.nan, 2, 3, 4, numpy.nan],
])
results = ensemble_centrality.robust_mean(arr2)
assert_equal(results, [3, 3])