def test_observation_space():
observation_space = ObservationSpace(np.array([1, 10]), -10, 10)
# testing that val_matches_space_definition works
assert observation_space.val_matches_space_definition(np.ones([1, 10]))
assert not observation_space.val_matches_space_definition(np.ones([2, 10]))
assert not observation_space.val_matches_space_definition(
np.ones([1, 10]) * 100)
assert not observation_space.val_matches_space_definition(
np.ones([1, 1, 10]))
# is_point_in_space_shape
assert observation_space.is_point_in_space_shape(np.array([0, 9]))
assert observation_space.is_point_in_space_shape(np.array([0, 0]))
assert not observation_space.is_point_in_space_shape(np.array([1, 8]))
assert not observation_space.is_point_in_space_shape(np.array([0, 10]))
assert not observation_space.is_point_in_space_shape(np.array([-1, 6]))
def validate_input_observation_space(
self, input_observation_space: ObservationSpace):
if len(
self.stack
) > 0 and not input_observation_space.val_matches_space_definition(
self.stack[-1]):
raise ValueError(
"The given input observation space is different than the observations already stored in"
"the filters memory")
if input_observation_space.num_dimensions <= self.stacking_axis:
raise ValueError(
"The stacking axis is larger than the number of dimensions in the observation space"
)
