def test_65():
"Regression #65"
actual = la.ones((0,1)).any(axis=1).dtype
desired = np.ones((0,1)).any(axis=1).dtype
assert_equal(actual, desired, "lar.any() returned wrong dtype")
actual = la.ones((0,1)).all(axis=1).dtype
desired = np.ones((0,1)).all(axis=1).dtype
assert_equal(actual, desired, "lar.all() returned wrong dtype")
def test_65():
"Regression #65"
actual = la.ones((0, 1)).any(axis=1).dtype
desired = np.ones((0, 1)).any(axis=1).dtype
assert_equal(actual, desired, "lar.any() returned wrong dtype")
actual = la.ones((0, 1)).all(axis=1).dtype
desired = np.ones((0, 1)).all(axis=1).dtype
assert_equal(actual, desired, "lar.all() returned wrong dtype")
def test_ones_4(self):
a = ones(label=[['a', 'b'], ['c', 'd']])
d = larry([[1., 1.], [1., 1.]], [['a', 'b'], ['c', 'd']])
ale(a, d, "ones failed.")
def test_ones_3(self):
a = ones((2, 2), dtype='i8')
d = larry(np.array([1., 1., 1., 1.], dtype='i8').reshape(2,2))
ale(a, d, "ones failed.")
def test_ones_1(self):
a = ones(5)
d = larry([1., 1., 1., 1., 1.])
ale(a, d, "ones failed.")
def test_ones_4(self):
a = ones(label=[['a', 'b'], ['c', 'd']])
d = larry([[1., 1.], [1., 1.]], [['a', 'b'], ['c', 'd']])
ale(a, d, "ones failed.")
def test_ones_3(self):
a = ones((2, 2), dtype='i8')
d = larry(np.array([1., 1., 1., 1.], dtype='i8').reshape(2, 2))
ale(a, d, "ones failed.")
def test_ones_1(self):
a = ones(5)
d = larry([1., 1., 1., 1., 1.])
ale(a, d, "ones failed.")