fix: Remove unused time imports and add type hint for connect function

fix: Remove init parameter from KMeans instantiation in create_cluster method

fix: Remove unused import of time in k_means_clustering.py

fix: Remove unused time imports and add type hint for connect function

Author: shima004

adf_core_python/core/agent/platoon/platoon.py

@@ -1,4 +1,3 @@
-import time
 from threading import Event
 
 from adf_core_python.core.agent.action.action import Action

adf_core_python/core/component/module/abstract_module.py

@@ -4,7 +4,7 @@
 from abc import ABC, abstractmethod
 from typing import TYPE_CHECKING
 
-from adf_core_python.core.logger.logger import get_agent_logger, get_logger
+from adf_core_python.core.logger.logger import get_agent_logger
 
 if TYPE_CHECKING:
     from adf_core_python.core.agent.communication.message_manager import MessageManager

adf_core_python/core/launcher/agent_launcher.py

@@ -1,6 +1,5 @@
 import importlib
 import threading
-import time
 
 from adf_core_python.core.component.abstract_loader import AbstractLoader
 from adf_core_python.core.config.config import Config
@@ -69,7 +68,7 @@ def launch(self) -> None:
             threads = connector.connect(component_launcher, self.config, self.loader)
             self.agent_thread_list.extend(threads)
 
-            def connect():
+            def connect() -> None:
                 for thread, event in threads.items():
                     thread.daemon = True
                     thread.start()

adf_core_python/implement/module/algorithm/k_means_clustering.py

@@ -1,5 +1,3 @@
-import time
-
 import numpy as np
 from rcrs_core.connection.URN import Entity as EntityURN
 from rcrs_core.entities.ambulanceCenter import AmbulanceCentre
@@ -114,7 +112,7 @@ def prepare(self) -> Clustering:
     def create_cluster(
         self, cluster_number: int, entities: list[Entity]
     ) -> list[list[Entity]]:
-        kmeans = KMeans(n_clusters=cluster_number, random_state=0, init="k-means++")
+        kmeans = KMeans(n_clusters=cluster_number, random_state=0)
         entity_positions: np.ndarray = np.array([])
         for entity in entities:
             location1_x, location1_y = entity.get_location()