diff options
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
-rw-r--r-- | numpy/lib/tests/test_function_base.py | 22 |
1 files changed, 19 insertions, 3 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index 93ebabae0..eae52c002 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -1105,7 +1105,7 @@ class TestAngle(object): np.arctan(3.0 / 1.0), np.arctan(1.0), 0, np.pi / 2, np.pi, -np.pi / 2.0, -np.arctan(3.0 / 1.0), np.pi - np.arctan(3.0 / 1.0)] - z = angle(x, deg=1) + z = angle(x, deg=True) zo = np.array(yo) * 180 / np.pi assert_array_almost_equal(y, yo, 11) assert_array_almost_equal(z, zo, 11) @@ -1920,9 +1920,9 @@ class TestCov(object): [-np.inf, np.inf]])) def test_1D_rowvar(self): - assert_allclose(cov(self.x3), cov(self.x3, rowvar=0)) + assert_allclose(cov(self.x3), cov(self.x3, rowvar=False)) y = np.array([0.0780, 0.3107, 0.2111, 0.0334, 0.8501]) - assert_allclose(cov(self.x3, y), cov(self.x3, y, rowvar=0)) + assert_allclose(cov(self.x3, y), cov(self.x3, y, rowvar=False)) def test_1D_variance(self): assert_allclose(cov(self.x3, ddof=1), np.var(self.x3, ddof=1)) @@ -2005,6 +2005,22 @@ class Test_I0(object): assert_equal(i0_0.shape, (1,)) assert_array_equal(np.i0([0.]), np.array([1.])) + def test_non_array(self): + a = np.arange(4) + + class array_like: + __array_interface__ = a.__array_interface__ + + def __array_wrap__(self, arr): + return self + + # E.g. pandas series survive ufunc calls through array-wrap: + assert isinstance(np.abs(array_like()), array_like) + exp = np.i0(a) + res = np.i0(array_like()) + + assert_array_equal(exp, res) + class TestKaiser(object): |