def test_get_factors(self): result = get_factors( np.asanyarray([ 2.2551711385, 2.478038901, 2.7001518288, 2.9214422642, 3.1418428, 3.3612863, 3.5797059197, 3.7970351263 ]), self.component_data) self.assertIsNotNone(result)
def get_structure_factors(range_stl, G, comp_list): """ Calculates the structure factor and phase factor for: - range_stl: numpy array of 2*sin(θ) / λ values - G: the number of components (layer types) - comp_list: list of :class:`~pyxrd.calculations.data_objects.ComponentData` instances This function calls :meth:`~pyxrd.calculations.components.get_factors` for each component in `comp_list` and stores the returned structure factors and phase difference factors in a numpy array (of type complex) with shape (X, G) where X is expanded to fit the shape of `range_stl`. """ shape = range_stl.shape + (G, ) SF = np.zeros(shape, dtype=np.complex_) PF = np.zeros(shape, dtype=np.complex_) for i, comp in enumerate(comp_list): SF[:, i], PF[:, i] = get_factors(range_stl, comp) # @UndefinedVariable return SF, PF
def get_structure_factors(range_stl, G, comp_list): """ Calculates the structure factor and phase factor for: - range_stl: numpy array of 2*sin(θ) / λ values - G: the number of components (layer types) - comp_list: list of :class:`~pyxrd.calculations.data_objects.ComponentData` instances This function calls :meth:`~pyxrd.calculations.components.get_factors` for each component in `comp_list` and stores the returned structure factors and phase difference factors in a numpy array (of type complex) with shape (X, G) where X is expanded to fit the shape of `range_stl`. """ shape = range_stl.shape + (G,) SF = np.zeros(shape, dtype=np.complex_) PF = np.zeros(shape, dtype=np.complex_) for i, comp in enumerate(comp_list): SF[:, i], PF[:, i] = get_factors(range_stl, comp) # @UndefinedVariable return SF, PF
def get_factors(self, range_stl): """ Get the structure factor for the given range of sin(theta)/lambda values. :param range_stl: A 1D numpy ndarray """ return get_factors(range_stl, self.data_object)
def test_get_factors(self): result = get_factors( np.asanyarray([2.2551711385, 2.478038901, 2.7001518288, 2.9214422642, 3.1418428, 3.3612863, 3.5797059197, 3.7970351263]), self.component_data ) self.assertIsNotNone(result)