def test_dtype_function_calls(self):
"""
Tests the dtype() function call for the data types stored in the array.
"""
# Set up
direc = Direction.Output
validator = NullValidator()
# Create float array
float_input_values = [1.1, 2.5, 5.6, 4.6, 9.0, 6.0]
float_arr = FloatArrayProperty("floats", float_input_values, validator,
direc)
# Create int array
int_input_values = [1, 2, 5, 4, 9, 6]
int_arr = IntArrayProperty("integers", int_input_values, validator,
direc)
# Create string array
str_input_values = ["a", "b", "c", "d", "e"]
str_arr = StringArrayProperty("letters", str_input_values, validator,
direc)
# Test
self.assertEquals(float_arr.dtype(), "f")
self.assertEquals(int_arr.dtype(), "i")
self.assertEquals(str_arr.dtype(), "S1")
def test_name_validator_direction_constructor_gives_correct_object(self):
"""
Test the constructor that takes a name, validator & direction
"""
name = "numbers"
direc = Direction.Output
validator = NullValidator()
arr = FloatArrayProperty(name, validator, direc)
self._check_object_attributes(arr, name, direc)
self.assertEquals(arr.isValid, "")
def test_name_values_from_array_validator_direction_constructor_gives_correct_object(
self):
"""
Test the constructor that takes a name, values from python object,
validator & direction
"""
name = "numbers"
direc = Direction.Output
validator = NullValidator()
input_values = np.array([1.1, 2.5, 5.6, 4.6, 9.0, 6.0])
arr = FloatArrayProperty(name, input_values, validator, direc)
self._check_object_attributes(arr, name, direc, length=6)
def test_name_string_values_validator_direction_constructor_gives_correct_object(
self):
"""
Test the constructor that takes a name, values as string, validator & direction
"""
name = "numbers"
direc = Direction.Output
validator = NullValidator()
values_str = "1.345,34.2,5345.3,4,5.3948"
arr = FloatArrayProperty(name, values_str, validator, direc)
self._check_object_attributes(arr, name, direc, length=5)
self.assertEquals(arr.isValid, "")
values = arr.value
self.assertTrue(isinstance(values, np.ndarray))
def test_construct_numpy_array_with_given_dtype_int(self):
# Set up
direc = Direction.Output
validator = NullValidator()
# Create int array
int_input_values = [1, 2, 5, 4, 9, 6]
int_arr = IntArrayProperty("integers", int_input_values, validator,
direc)
# Use the returned dtype() to check it works with numpy arrays
x = np.arange(1, 10, dtype=int_arr.dtype())
self.assertIsInstance(x, np.ndarray)
self.assertEquals(x.dtype, int_arr.dtype())
def test_construct_numpy_array_with_given_dtype_float(self):
# Set up
direc = Direction.Output
validator = NullValidator()
# Create float array
float_input_values = [1.1, 2.5, 5.6, 4.6, 9.0, 6.0]
float_arr = FloatArrayProperty("floats", float_input_values, validator,
direc)
# Use the returned dtype() to check it works with numpy arrays
x = np.arange(1, 10, dtype=float_arr.dtype())
self.assertIsInstance(x, np.ndarray)
self.assertEquals(x.dtype, float_arr.dtype())
def test_construct_numpy_array_with_given_dtype_string(self):
# Set up
direc = Direction.Output
validator = NullValidator()
# Create string array
str_input_values = ["hello", "testing", "word", "another word", "word"]
str_arr = StringArrayProperty("letters", str_input_values, validator,
direc)
# Use the returned dtype() to check it works with numpy arrays
x = np.array(str_input_values, dtype=str_arr.dtype())
self.assertIsInstance(x, np.ndarray)
# Expect longest string to be returned
self.assertEquals(x.dtype, "S12")