def test_int_against_float(self):
nm = NumberArrayMeta("float32")
values = [1, 2, 3]
response = nm.validate(values)
for i, value in enumerate(response):
assert values[i] == value
nm = NumberArrayMeta("float64")
values = [1, 2, 3]
response = nm.validate(values)
for i, value in enumerate(response):
assert values[i] == value
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_float_against_float64(self):
nm = NumberArrayMeta("float64")
values = [1.2, 3.4, 5.6]
response = nm.validate(values)
for i, value in enumerate(response):
assert 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):
assert values[i] == value
def test_none_validates(self):
nm = NumberArrayMeta("int32")
assert list(nm.validate(None)) == []
def test_null_element_zero(self):
nm = NumberArrayMeta("float64")
actual = nm.validate([1.2, None, 1.3])
assert actual[0] == 1.2
assert np.isnan(actual[1])
assert actual[2] == 1.3
def test_float_against_int_floors(self):
nm = NumberArrayMeta("int32")
actual = list(nm.validate([1.2, 34, 56]))
expected = [1, 34, 56]
assert actual == expected
def test_numpy_array_wrong_number_type_raises(self):
nm = NumberArrayMeta("int32")
values = np.array([1.2, 3.4, 5.6])
with self.assertRaises(AssertionError):
nm.validate(values)
def test_numpy_array_wrong_type_raises(self):
nm = NumberArrayMeta("float64")
values = "[1.2, 3.4, 5.6]"
with self.assertRaises(ValueError):
nm.validate(values)