Re-working process worker

giskard/utils/worker_pool.py

@@ -9,7 +9,7 @@
 from dataclasses import dataclass, field
 from enum import Enum
 from io import StringIO
-from multiprocessing import Process, Queue, SimpleQueue, cpu_count, get_context
+from multiprocessing import Process, Queue, cpu_count, get_context
 from multiprocessing.context import SpawnContext, SpawnProcess
 from multiprocessing.managers import SyncManager
 from queue import Empty, Full
@@ -92,9 +92,7 @@ class GiskardResult:
     exception: Any = None
 
 
-def _process_worker(
-    tasks_queue: Queue[Optional[GiskardTask]], tasks_results: Queue[GiskardResult], running_process: Dict[str, str]
-):
+def _process_worker(tasks_queue: Queue, tasks_results: Queue, running_process: Dict[str, str]):
     pid = os.getpid()
     LOGGER.info("Process %s started", pid)
 
@@ -159,12 +157,12 @@ def __init__(self, nb_workers: Optional[int] = None, name: Optional[str] = None)
         # Mapping of the running tasks and worker pids
         self.with_timeout_tasks: List[TimeoutData] = []
         # Queue with tasks to run
-        self.pending_tasks_queue: Queue[GiskardTask] = self._mp_context.Queue()
+        self.pending_tasks_queue: Queue = self._mp_context.Queue()
         # Queue with tasks to be consumed asap
         # As in ProcessPool, add one more to avoid idling process
-        self.running_tasks_queue: Queue[Optional[GiskardTask]] = self._mp_context.Queue(maxsize=self._nb_workers + 1)
+        self.running_tasks_queue: Queue = self._mp_context.Queue(maxsize=self._nb_workers + 1)
         # Queue with results to notify
-        self.tasks_results: Queue[GiskardResult] = self._mp_context.Queue()
+        self.tasks_results: Queue = self._mp_context.Queue()
         # Mapping task_id with future
         self.futures_mapping: Dict[str, Future] = dict()
         LOGGER.debug("Starting threads for the WorkerPoolExecutor")