def transform_coordinates(self):
coord_aux = build_homogeneous_coordinates(self.coordinates)
coord_aux = multiply_coordinates_by_transformations(
coord_aux, self.window_transformations)
for (code, params) in self.transformations_codes:
t_aux = []
if self.needs_translation(code):
if code in ["rt"]:
if len(params[1]) > 0:
translate_x, translate_y, translate_z = normalize_point(
params[1], self.window_width / 2,
self.window_height / 2)
else:
(
translate_x,
translate_y,
translate_z,
_,
) = calculate_object_center(coord_aux)
params = [params[0]] * 3
else:
(
translate_x,
translate_y,
translate_z,
_,
) = calculate_object_center(coord_aux)
t_aux.append(transformations_functions_dict["tr"](
-translate_x, -translate_y, -translate_z))
t_aux.append(transformations_functions_dict[code](*params))
t_aux.append(transformations_functions_dict["tr"](translate_x,
translate_y,
translate_z))
else:
if code == "tr":
x_normalized, y_normalized, z_normalized = normalize_point(
params, self.window_width / 2, self.window_height / 2)
params = [x_normalized, y_normalized, z_normalized]
t_aux.append(transformations_functions_dict[code](*params))
composition_matrix = reduce(np.dot, t_aux)
coord_aux = multiply_coordinates_by_transformations(
coord_aux, composition_matrix)
# self.center = calculate_object_center(coord_aux)
# Remove last column and map the points to tuple
self.transformed_coordinates = list(map(tuple, coord_aux[:, :-1]))
def test_point_normalization_over_boundaries():
point = (X_MAX_TRANSLATED * 1000, Y_MAX_TRANSLATED * -1000)
expected_result = (1, -1)
normalized = normalize_point(point)
assert normalized == expected_result
def test_point_normalization_min():
point = (X_MIN_TRANSLATED, Y_MIN_TRANSLATED)
expected_result = (-1, -1)
normalized = normalize_point(point)
assert normalized == expected_result
def test_point_normalization_max():
point = (X_MAX_TRANSLATED, Y_MAX_TRANSLATED)
expected_result = (1, 1)
normalized = normalize_point(point)
assert normalized == expected_result
def test_point_normalization_zeros():
point = (0, 0)
expected_result = (0, 0)
normalized = normalize_point(point)
assert normalized == expected_result