def test_broadcast_equals(self):
v1 = Variable((), np.nan)
v2 = Variable(('x'), [np.nan, np.nan])
self.assertTrue(v1.broadcast_equals(v2))
self.assertFalse(v1.equals(v2))
self.assertFalse(v1.identical(v2))
v3 = Variable(('x'), [np.nan])
self.assertTrue(v1.broadcast_equals(v3))
self.assertFalse(v1.equals(v3))
self.assertFalse(v1.identical(v3))
self.assertFalse(v1.broadcast_equals(None))
v4 = Variable(('x'), [np.nan] * 3)
self.assertFalse(v2.broadcast_equals(v4))
def test_broadcast_equals(self):
v1 = Variable((), np.nan)
v2 = Variable(('x'), [np.nan, np.nan])
self.assertTrue(v1.broadcast_equals(v2))
self.assertFalse(v1.equals(v2))
self.assertFalse(v1.identical(v2))
v3 = Variable(('x'), [np.nan])
self.assertTrue(v1.broadcast_equals(v3))
self.assertFalse(v1.equals(v3))
self.assertFalse(v1.identical(v3))
self.assertFalse(v1.broadcast_equals(None))
v4 = Variable(('x'), [np.nan] * 3)
self.assertFalse(v2.broadcast_equals(v4))
def test_no_conflicts(self):
v1 = Variable(('x'), [1, 2, np.nan, np.nan])
v2 = Variable(('x'), [np.nan, 2, 3, np.nan])
self.assertTrue(v1.no_conflicts(v2))
self.assertFalse(v1.equals(v2))
self.assertFalse(v1.broadcast_equals(v2))
self.assertFalse(v1.identical(v2))
self.assertFalse(v1.no_conflicts(None))
v3 = Variable(('y'), [np.nan, 2, 3, np.nan])
self.assertFalse(v3.no_conflicts(v1))
d = np.array([1, 2, np.nan, np.nan])
self.assertFalse(v1.no_conflicts(d))
self.assertFalse(v2.no_conflicts(d))
v4 = Variable(('w', 'x'), [d])
self.assertTrue(v1.no_conflicts(v4))