def is_frontier_pair(t_env_variables: EnvVariables,
f_env_variables: EnvVariables,
epsilon: float,
dist: float = None) -> bool:
return is_frontier_pair_values(t_env_values=t_env_variables.get_values(),
f_env_values=f_env_variables.get_values(),
epsilon=epsilon,
dist=dist)
def _find_closest_env(possible_envs_dict: Dict,
env_to_search: EnvVariables) -> EnvExecDetails:
min_distance = np.inf
closest_env = None
for possible_env in list(itertools.chain(*possible_envs_dict.values())):
dist = np.linalg.norm(
np.asarray(possible_env.get_env_values()) -
np.asarray(env_to_search.get_values()))
if dist < min_distance:
closest_env = copy.deepcopy(possible_env)
min_distance = dist
return closest_env
def compute_dist(t_env_variables: EnvVariables,
f_env_variables: EnvVariables) -> float:
return compute_dist_values(t_env_values=t_env_variables.get_values(),
f_env_values=f_env_variables.get_values())