use setproctitle, if available to rename rf trainer process, so it's …

…more easily identifiable in monitoring tools

smac/model/random_forest/multiproc_util/GrowingSharedArray.py

@@ -1,19 +1,20 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
-import uuid
 from typing import Optional
 
 import math
 from multiprocessing import Lock
 
+import uuid
+import numpy as np
+from numpy import typing as npt
+
 # from multiprocessing.shared_memory import SharedMemory
 from .SharedMemory import SharedMemory as UntrackableSharedMemory
-def SharedMemory(*args, **kwargs) -> UntrackableSharedMemory:
-    return UntrackableSharedMemory(*args, track=False, **kwargs)
 
 
-import numpy as np
-from numpy import typing as npt
+def SharedMemory(*args, **kwargs) -> UntrackableSharedMemory:
+    return UntrackableSharedMemory(*args, track=False, **kwargs)
 
 
 def dtypes_are_equal(dtype1: np.dtype, dtype2: np.dtype) -> bool:

smac/model/random_forest/multiproc_util/RFTrainer.py

@@ -17,6 +17,13 @@
 
 from enum import Enum, auto, unique
 
+try:
+    from setproctitle import setproctitle
+except ImportError:
+    setproctitle = None
+else:
+    import uuid
+
 
 @unique
 class Concurrency(Enum):
@@ -48,6 +55,9 @@ def rf_training_loop(
         n_trees: int, bootstrapping: bool, max_features: int, min_samples_split: int, min_samples_leaf: int,
         max_depth: int, eps_purity: float, max_nodes: int, n_points_per_tree: int
 ) -> None:
+    if setproctitle is not None:
+        setproctitle(f'rf_trainer_{uuid.uuid4().int}'[:15])
+
     rf_opts = get_rf_opts(n_trees, bootstrapping, max_features, min_samples_split, min_samples_leaf, max_depth,
                           eps_purity, max_nodes, n_points_per_tree)