fixed deprecation warning evaluation ONCE (#1210)

pcdet/datasets/once/once_eval/eval_utils.py

 import numpy as np
 
+
 def compute_split_parts(num_samples, num_parts):
     part_samples = num_samples // num_parts
     remain_samples = num_samples % num_parts
@@ -10,12 +11,14 @@ def compute_split_parts(num_samples, num_parts):
     else:
         return [part_samples] * num_parts + [remain_samples]
 
+
 def overall_filter(boxes):
-    ignore = np.zeros(boxes.shape[0], dtype=np.bool) # all false
+    ignore = np.zeros(boxes.shape[0], dtype=bool)  # all false
     return ignore
 
+
 def distance_filter(boxes, level):
-    ignore = np.ones(boxes.shape[0], dtype=np.bool) # all true
+    ignore = np.ones(boxes.shape[0], dtype=bool)  # all true
     dist = np.sqrt(np.sum(boxes[:, 0:3] * boxes[:, 0:3], axis=1))
 
     if level == 0:  # 0-30m
@@ -30,12 +33,13 @@ def distance_filter(boxes, level):
     ignore[flag] = False
     return ignore
 
+
 def overall_distance_filter(boxes, level):
-    ignore = np.ones(boxes.shape[0], dtype=np.bool) # all true
+    ignore = np.ones(boxes.shape[0], dtype=bool)  # all true
     dist = np.sqrt(np.sum(boxes[:, 0:3] * boxes[:, 0:3], axis=1))
 
     if level == 0:
-        flag = np.ones(boxes.shape[0], dtype=np.bool)
+        flag = np.ones(boxes.shape[0], dtype=bool)
     elif level == 1:  # 0-30m
         flag = dist < 30
     elif level == 2:  # 30-50m