def test_rejects_numpy_types(self):
numpy_values = [
numpy.float16(25),
numpy.float32(25),
numpy.float64(25),
]
for numpy_value in numpy_values:
self.model.percentage = 88
with self.assertRaises(TraitError):
self.model.percentage = numpy_value
self.assertEqual(self.model.percentage, 88)
def test_numpy_types(self):
a = A()
a.integral = numpy.int32(23)
self.assertEqual(a.integral, 23)
self.assertIn(type(a.integral), six.integer_types)
a.integral = numpy.uint64(2**63 + 2)
self.assertEqual(a.integral, 2**63 + 2)
self.assertIs(type(a.integral), LONG_TYPE)
with self.assertRaises(TraitError):
a.integral = numpy.float32(4.0)
with self.assertRaises(TraitError):
a.integral = numpy.float64(4.0)
def test_accepts_numpy_floats(self):
test_values = [
numpy.float64(2.3),
numpy.float32(3.7),
numpy.float16(1.28),
]
a = self.test_class()
for test_value in test_values:
a.value = test_value
self.assertIs(type(a.value), float)
self.assertEqual(a.value, test_value)
a.value_or_none = test_value
self.assertIs(type(a.value_or_none), float)
self.assertEqual(a.value_or_none, test_value)
def test_accepts_numpy_types(self):
numpy_values = [
numpy.uint8(25),
numpy.uint16(25),
numpy.uint32(25),
numpy.uint64(25),
numpy.int8(25),
numpy.int16(25),
numpy.int32(25),
numpy.int64(25),
numpy.float16(25),
numpy.float32(25),
numpy.float64(25),
]
for numpy_value in numpy_values:
self.model.percentage = numpy_value
self.assertIs(type(self.model.percentage), float)
self.assertEqual(self.model.percentage, 25.0)
