def test_1d_wo_missing(self):
# Test cov on 1D variable w/o missing values
x = self.data
assert_almost_equal(np.corrcoef(x), corrcoef(x))
assert_almost_equal(np.corrcoef(x, rowvar=False),
corrcoef(x, rowvar=False))
with catch_warn_mae():
warnings.simplefilter("ignore")
assert_almost_equal(np.corrcoef(x, rowvar=False, bias=True),
corrcoef(x, rowvar=False, bias=True))
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