def test_float_against_float32(self):
nm = NumberArrayMeta("float32")
values = [1.2, 3.4, 5.6]
response = nm.validate(values)
for i, value in enumerate(response):
self.assertAlmostEqual(values[i], response[i], places=5)
def test_int_against_int(self):
nm = NumberArrayMeta("int32")
values = [1, 2, 3]
response = nm.validate(values)
for i, value in enumerate(response):
self.assertEqual(values[i], value)
def test_numpy_array(self):
nm = NumberArrayMeta("float64")
values = np.array([1.2, 3.4, 5.6])
response = nm.validate(values)
for i, value in enumerate(response):
self.assertEqual(values[i], value)
def test_float_against_float64(self):
nm = NumberArrayMeta("float64")
values = [1.2, 3.4, 5.6]
response = nm.validate(values)
for i, value in enumerate(response):
self.assertEqual(values[i], value)
def setUp(self):
meta = Mock()
meta.elements = OrderedDict()
meta.elements["e1"] = StringArrayMeta()
meta.elements["e2"] = NumberArrayMeta("int32")
meta.elements["e3"] = NumberArrayMeta("int32")
self.meta = meta
def setUp(self):
meta = Mock()
meta.elements = OrderedDict()
meta.elements["e1"] = NumberArrayMeta("int32")
meta.elements["e2"] = NumberArrayMeta("int32")
meta.elements["e3"] = NumberArrayMeta("int32")
self.t = Table(meta)
self.t.e1 = [1]
self.t.e2 = [2]
self.t.e3 = [3]
def test_init_with_dict(self):
meta = Mock()
meta.elements = {
"e1": NumberArrayMeta("int32"),
"e2": StringArrayMeta(),
"e3": StringArrayMeta()
}
d = {"e1": [0, 1], "e3": ["value"]}
t = Table(meta, d)
self.assertEquals([0, 1], list(t.e1))
self.assertEquals([], t.e2)
self.assertEquals(["value"], t.e3)
self.assertEquals("malcolm:core/Table:1.0", t.typeid)
def create_meta(self, description):
return NumberArrayMeta("float64", description)
def test_none_validates(self):
nm = NumberArrayMeta("int32")
self.assertIsNone(nm.validate(None))
def test_null_element_raises(self):
nm = NumberArrayMeta("float32")
self.assertRaises(ValueError, nm.validate, [1.2, None, 5.6])
def test_float_against_int_raises(self):
nm = NumberArrayMeta("int32")
self.assertRaises(ValueError, nm.validate, [1.2, 34, 56])
def test_numpy_array_wrong_number_type_raises(self):
nm = NumberArrayMeta("int32")
values = np.array([1.2, 3.4, 5.6])
with self.assertRaises(TypeError):
nm.validate(values)
def test_numpy_array_wrong_type_raises(self):
nm = NumberArrayMeta("float64")
values = "[1.2, 3.4, 5.6]"
with self.assertRaises(TypeError):
nm.validate(values)